AUTOMATE CONFERENCE AGENDA

Manufacturers constantly seek to optimize their processes through robotics, but for those new to automation, the first deployment can feel daunting. While the initial robot deployment is often the most challenging, true success comes from planning for future expansions. Automation, much like the machine tools it serves, should be seen as a long-term, flexible investment.

This presentation will guide participants through essential considerations for automating machine tending, from robotic handling to automatic clamping on machine tables. We will explore practical strategies for investment in automation, focusing on enhancing productivity and reducing manual labor.

The session will showcase a spectrum of real-world machine tending scenarios, starting with simple, cost-effective solutions, and advancing to more complex applications. These scenarios are divided into five key categories:

• Lean Automation: Leveraging the machine tool’s own table and spindle motion to provide an entry-level path into automation.
• Workpiece Automation: Implementing robots or automated handling systems to move raw materials into the machine’s clamping device—ideal for larger lot sizes with minor variances in part complexity.
• Pallet Automation: Pre-clamping workpieces outside the machine and automatically loading them via a pallet system, perfect for handling high workpiece variability.
• Workpiece and Pallet Automation: Combining clamping tools for both the robot’s end-of-arm tooling and machine table to maximize flexibility for a range of production volumes, from single workpieces to large batches.
• Flexible Manufacturing Systems (FMS): Multi-machine setups where tools are interconnected by automated transport and storage systems for high-volume, variable production.

Attendees will learn how to leverage existing machine motion for automation, gain insights into manual vs. automated clamping solutions, and discover how cobots and robots can enhance workpiece handling flexibility. We’ll cover the advantages of automated pallet systems, enabling efficient production of even lot-size-one batches. Throughout the presentation, we will address key strategies for early successes, planning for workpiece changes, managing multiple operations, and automating infeed and outfeed processes.

By the end of the session, participants will understand how to use automation to free skilled employees from repetitive tasks like manual loading and basic inspections, ultimately boosting productivity and flexibility in their operations.

Will Robotics and AI be the next disruptive technology in the area of supply chain and distribution?

Mr. Bonkenburg will discuss the latest available robotic and AI technology for distribution centers, talk about the companies that are using this technology, and what the supply chain professional needs to know now about the possible future impact of this rapidly developing industry.

This dynamic presentation will use videos to highlight new technology from startup companies as well as traditional material handling vendors from around the world. Are these technologies able to help your company and will you be ready for them when they arrive? Note: this is a non-commercial presentation with no “sales pitch”. Tom is independent of all technologies discussed, the goal is to present an entertaining and educational keynote level discussion.

This educational experience is designed for OT professionals who are helping to navigate their companies through the rapidly-evolving landscape of automation technologies. It does not matter who your main automation vendor is. The goal of the session is to enable your acceleration into the automation tools and technologies that will shape the next advances in manufacturing. You will walk away with expert-built templates and proposals that are tailored to equip your company for action, facilitating your decision-making and implementation-planning for practical solutions.  We will begin with an overview of new technologies and their ability to reshape production through leaps in transparency, productivity, and workforce capability. Then we will share real examples of how companies have applied these technologies and the outcomes they have achieved. We will conclude by providing the assets you need to succeed.

3D cameras play a pivotal role in industrial automation, enabling advanced robotic systems to perceive depth and interact intelligently with their environments. Among the various techniques used to achieve depth perception, stereo vision, time-of-flight, lidar, and laser triangulation are the most prevalent. In this talk, we will explore the trade-offs between these technologies, focusing on their suitability for different industrial robotic applications.

Special attention will be given to stereo vision, including its key design drivers, the image processing pipeline, and the challenges that arise during implementation. We will present case studies demonstrating the deployment of stereo cameras in various industrial settings, highlighting how stereo vision stands out in terms of cost-effectiveness, flexibility, and scalability. Additionally, we will address common challenges, such as calibration, lighting variations, and computational complexity, while offering strategies to overcome these hurdles.

In this session, attendees will delve into the diverse applications of collaborative robots (cobots). The presentation will discuss a variety of cobot applications, and what specifically makes these applications suitable for collaborative automation.

We will step through what to look for in early stages of investigating where and how to evaluate the best opportunities to automate a process or manufacturing challenges. We will explore the challenges in determining what makes this successful or a potential failure. We will also discuss the benefits of product designs to enhance the success of implementing automation technology as well as the internal infrastructure to support the life cycle to the automation. Understanding how utilization of automation can help with throughput, quality, scrap rates and personnel development will be discussed as well as different approaches fully benefitting from the investment.

Industrial Robots are at the heart of Lean Manufacturing and are vital to the current vibrant manufacturing economy in North America. The “Getting Started with Robotics” presentation is an introduction to the Industrial Robotics or Flexible Automation Industry. We will explore Robot Based Automation Systems to include how the industry functions, why to choose robot based automation, principles of system integration, general principles of robot technology, the business case for automating and calculating ROI plus the common mistakes made in Robot Integration. The attendee will learn through discussion and evaluating system photos and videos illustrating various robotic based flexible automation systems.

The industrial automation landscape has long been characterized by high barriers to entry and complex integration services. Today, industrial automation and robotics are undergoing an unprecedented wave of innovation that could resemble the early days of the PC industry.

In this presentation, Etienne Lacroix, CEO of Vention, will explore the critical factors driving the widespread adoption of robotics in manufacturing. The talk will focuse on three key areas: cloud robotics, artificial intelligence, and platforming, which together hold the potential to revolutionize the automation landscape.

Etienne will share how cloud robotics serves as a catalyst, enabling advanced computation and data sharing across robotic systems. This connectivity not only reduces costs but also enhances the capabilities of automation solutions, allowing for more flexible and adaptive manufacturing processes.

Building on this foundation, Etienne will delve into how productization shifts the paradigm from traditional, risky custom projects to scalable and reliable product-based approaches. By integrating hardware and software into cohesive applications, manufacturers can streamline deployment, simplify operator training, and ensure consistent long-term maintenance—ultimately minimizing financial risks.

Finally, with the integration of AI and digital twins, Etienne will share how manufacturers can simulate diverse process conditions before deployment with the ability to create near-accurate virtual representations of physical systems.

Drawing parallels with industries that have democratized complex technologies, Lacroix will present a vision of manufacturing automation's future. He'll showcase real-world examples illustrating the ongoing industry transformation.

As operators of connected factories pursue digitalization for sustainability & efficiency, the need for configurable, platformized solutions is clear. Ethernet communication is expanding in industries, offering higher bandwidth, reduced downtime, faster installation, real-time control, and diagnostics. Increasing Ethernet nodes automates control systems, enabling efficiency gains.

These systems require numerous devices bridging the physical and digital worlds, such as sensors and actuators. Networks must be flexible, support multiple topologies, cover long distances, tolerate faults, & deliver power. Single-pair Ethernet suits these needs and can reuse existing cabling.

As edge devices decentralize, remote I/O becomes essential. Configurable I/O is critical to meet varied needs with fewer SKUs & reducing design time. The rollout of AI further enhances automation and decision-making. Let's discuss these challenges & some potential solutions!

Autonomous mobile robots (AMRs) have been proven to increase productivity and efficiency within facilities worldwide, but this is only made possible with great fleet management software. The right software solution makes it easy to deploy, manage and scale your AMR fleet, enabling manufacturers to build ROI from day one. In this session, attendees will learn what to look for when evaluating fleet management software and how it unlocks scale in mission-critical operations worldwide.

This session examines the application of AI-based vision systems in wire harness and cable assembly automation. We'll discuss how these technologies are being implemented in manufacturing environments and their potential impact on production processes.

Key Topics:

• AI Vision Applications: An overview of how AI vision systems can be used to automate wire harness and cable assembly tasks, with a focus on improvements in precision and efficiency.
• Real-World Case Studies: Examination of practical examples where AI vision has been integrated into wire harness manufacturing, highlighting both successes and challenges.
• Integration Strategies: Discussion of the process involved in implementing AI vision systems, including common challenges and effective practices for integrating with existing production lines.
• Challenges and Future Developments: Analysis of current limitations in wire harness and cable assembly automation, and exploration of potential future advancements in the field.

This session aims to provide relevant information for manufacturing engineers, technology professionals, and industry decision-makers interested in the potential of AI vision technology for wire harness and cable assembly processes.

We can’t talk about the excitement and innovation of the robotics industry without mentioning humanoid robots. While humanoids for some represent a science fiction future, for others, humanoids represent the next generation of automation that will usher in a new era of human-robot collaboration. Yet, collaboration can’t be achieved until a critical element is addressed -- that of safety. As an industry, we have a responsibility to create and advance safety standards to ensure a safe workplace for humans working with any robots, especially humanoids. We can’t let the hype distract us from putting in the hard work on safety -- something that isn’t always visible and represented in slick marketing videos. Melonee Wise, Chief Product Officer of Agility Robotics, has a rich history of pioneering and advancing the robotics industry to the status it is today. In this session, she will discuss the similarities between the humanoid market and the AMR market of 10 years ago, how to avoid the mistakes that the AMR industry encountered in its infancy, and the work that is being done now to establish necessary safety standards and requirements.

In the pursuit of manufacturing excellence, quality assurance is non-negotiable. Join us as we explore the frontier of precision 3D metrology and its pivotal role in redefining quality standards on the plant floor. Our presentation will focus on the transformative capabilities of in-line 3D non-contact analysis systems, offering insights into its capacity to revolutionize traditional quality assurance protocols and bring the inspection closer to the source. From laser line triangulation to custom structured lighting systems, we'll examine the technological foundations underpinning this paradigm shift in metrology. Delve into the dimensions of repeatability and accuracy, and discover how our cutting-edge solutions empower manufacturers to achieve unparalleled levels of precision. Don't miss this opportunity to elevate your understanding of quality assurance in manufacturing.

Traditional sanding and grinding methods, often involve multiple steps and can be time-consuming. Advancements in technology have led to the development of innovative approaches that offer significant improvements in efficiency and quality. By harnessing the intelligence of an Active Force Control and the power of a high-speed operation these tasks can be transformed into a precise finishing process.

The Role of Force Control and Speed
Our approach revolves around maintaining a constant contact force. Unlike other solutions, this system ensures that the abrasive tool exerts a consistent pressure on the workpiece at any time and any circumstance, regardless of variation in robot speed, orientation or any other parameter like material or shape. Constant force control allows to play with several parameters such as speed, feed rate and RPM, abrasive media, ... without impacting the contact force. Observations show that higher process speeds, coupled with a consistent contact force, yield the most superior surface finishes and in the end the interaction and increase of these factors allows for:

• Reduced cycle times: By moving the abrasive tool across the surface at higher speeds while maintaining optimal pressure, we achieve significantly faster material removal rates.
• Superior surface finishes: The combination of speed and precise force control results in a smoother, more uniform finish that eliminates the need for additional polishing or finishing steps.
• Extended abrasive media life: The consistent and optimized working conditions prolong the lifespan of abrasive media, reducing operational costs.

The Economics of Precision Finishing
The benefits of our approach extend beyond improved product quality. By accelerating the finishing process and eliminating the need for secondary operations, this offers a compelling return on investment (ROI). Those systems equipped with real contact force outperform other automated solutions due to:

• Higher throughput: The system's ability to achieve optimal results in shorter cycle times means you can process more parts in less time.
• Reduced labor costs: Faster throughput through the automated system with less manual finishing needs decreases the labor cost per part.
• Improved product quality: The consistent, high-quality finishes produced by the system reduces the amount of defects and rework.

In essence, this approach of faster processing redefines automated finishing. By combining high speed, precise force control, and a focus on achieving a perfect finish in a single process, results in solutions that are faster and more cost-effective than traditional methods. The result is a significant improvement in overall manufacturing efficiency and a reduction in time-to-market.

Today, more than ever, robot end users have a flood a factors to consider when choosing a cobot solution. If they don’t do their do diligence and homework, they can make a costly mistake picking the wrong solution, or investing in cobot solutions that are already out of date, or are not truly the best fit for their needs.

This talk covers the hottest trends in cobot solutions and new technology advancements that makes cobots even more accessible, easier to deploy, faster to get your ROI, so you can just CobotandGo.

Automation technologies are pushing boundaries, but solving real-world problems requires more than basic 2D detection or depth mapping. This talk, inspired by Luxonis’ VP of Computer Vision, will focus on how AI-powered 3D vision and smart cameras are transforming automation by enabling machines to gain a comprehensive understanding of their environment. Businesses today require systems that can not only identify objects but also understand their precise orientation and spatial relationships in real time.

Drawing on examples like autonomous robots and manufacturing systems, we’ll explore how the next generation of vision technologies supports object manipulation, collision avoidance, and navigation through full 3D comprehension of the world. We’ll discuss how multiple cameras can work together, sharing data in a common coordinate system to create a globally consistent, accurate representation of complex environments.

Another core element of this presentation will focus on the fusion of different vision modalities (such as stereo depth and segmentation) to create new types of outputs, like segmented point clouds, that unlock additional capabilities for automation. The power of combining data over time and from multiple sensors ensures machines can make smarter decisions and overcome the edge cases that often prevent full system reliability.

The talk will also emphasize the importance of AI models capable of retraining themselves. As industries evolve, automated systems must learn to adapt to new challenges and environments. By embedding self-learning mechanisms, Luxonis’ vision systems ensure that machines stay relevant and capable of performing at their best in ever-changing conditions.

The talk will conclude with real-world case studies from sectors such as agriculture, industrial safety, and robotics, showing how companies have successfully integrated 3D vision systems to achieve unprecedented levels of efficiency, safety, and accuracy. Through these examples, attendees will gain insights into how advanced vision technologies are not only solving today’s problems but laying the groundwork for the future of automation.

Explore the automation workflow of the future in this collaborative session from Beckhoff Automation USA and MathWorks. We believe – and our industry friends tend to agree – that the most impactful technologies for the next generation of automated systems are: Model-based design and simulation, and AI / Machine learning.

With the right set of tools, model-based design and simulation can be applied to the development and implementation of modern automated controls systems. We intend to demonstrate how a full in-the-loop testing process can be realized; with models being taken from initial concept, all the way to the control of physical devices. This integrated workflow enables early validation and continuous optimization as the system evolves.

Furthermore, this presentation aims to demystify the process of applying AI within engineered systems by addressing the common hurdles organizations encounter today. These range from data preparation and modeling intricacies to the obstacles of verification and deployment. Beyond identifying these real-world challenges, practical strategies and solutions will be proposed to facilitate a smoother AI integration journey.

Tired of clunky, outdated interfaces slowing you down during troubleshooting? In this talk, we’ll dive into the art and science of building Human-Machine Interfaces (HMIs) that are not only sleek and visually captivating but also engineered for lightning-fast troubleshooting. Discover how user-centric design, cognitive hacks, and emerging tech—like adaptive interfaces—which is reshaping the way we interact with machines. Learn practical tips to create HMIs that are as intuitive as they are beautiful, saving time, reducing errors, and setting a new benchmark for usability in smart manufacturing. If you're ready to transform your HMI game, this is the session you don’t want to miss!

Artificial Intelligence (AI) promises better, more human-like decision-making and more autonomous operation, yet 87% of machine learning models never make it to production. The disconnect between AI technologists (IT) and industrial stakeholders (OT, from executive to the plant floor) significantly drives this failure. This disconnect shows itself as a lack of common understanding of AI capabilities, lack of common terminology to discuss AI solutions, and no framework for discussing AI Automation at various organizational altitudes.

The audience for this course is industrial stakeholders that own and operate industrial processes. This includes business executives, innovation teams, plant / line managers, process engineers, controls engineers, line supervisors, and industrial data scientists. We will provide a 101-level introduction that helps industrial stakeholders like you navigate the confusing AI landscape. The course arms will arm you with context that helps you select technologies, service providers, and vendors that will help you improve your manufacturing and logistics process control. The result is the foundation of building AI-powered automation that passes the ethics, explainability, and trust criteria needed to reach production and significant return on investment.

The course has been designed and will be presented by Kence Anderson, AI author and start-up founder, formerly with Microsoft Bonsai. 

COURSE OUTLINE:

• How Machines Make Decisions
• How AI Can Improve Industrial Automation
• AI for Perception: How Machine Learning Helps You Understand What's Happening
• AI for Taking Action: Reinforcement Learning Decides What to Do
• Deploying AI-Powered Automation
• Capstone Exercise

5G-enabled, precise indoor positioning in a smart factory can revolutionize operations. Imagine real-time inventory tracking, ensuring materials and products are always where they should be. Geofencing enhances security by restricting access to sensitive areas and preventing expensive tools from leaving designated workshops. Autonomous Mobile Robots (AMRs) navigating efficiently, optimizing routes, and reducing delays. Worker safety improving as location tracking helps prevent accidents by monitoring proximity to hazardous zones.

In this session, Ericsson will explore real-world examples of private cellular network factory deployments and how they deliver advantages with the positioning feature of 5G.

In the rapidly evolving field of robotics, including industrial, collaborative and humanoid, the integration of advanced sensing technologies is crucial for enhancing the precision, adaptability, and overall functionality of robotic systems. Force/Torque sensors provide robots with the ability to perceive and respond to their environment with a level of sensitivity akin to the human sense of touch. This capability is transformative for applications requiring delicate manipulation, precise force control, and adaptive interaction with varying objects and environments. The combination of force and visual feedback allows robots to perform complex tasks with greater efficiency and precision, leading to improved performance in dynamic and unstructured environments. Advancements in AI and edge computing is further accelerating this adoption.

An introduction to the design considerations for use of RTU's in various automation applications including machine tending, material handling and many others.

The ISO 10218 standard is the cornerstone of industrial robot safety, guiding manufacturers, integrators, and end users in ensuring safe robotic system implementation. In this session, Roberta Nelson Shea, a leading expert in robot safety, will provide an in-depth overview of the latest updates to ISO 10218 and the upcoming R15.06 revisions. Key changes, new requirements, and their implications for the industry will be discussed, with a focus on the evolving safety landscape for robotic automation. Attendees will gain critical insights into how these updates impact risk assessment, collaborative robotics, compliance strategies, and the integration of robotic systems, ensuring they stay ahead in an ever-changing industry.

rf IDEAS’ Juan Martinez, Vertical Lead of Manufacturing, will dive into the importance of managing access to the production process, eliminating shared passwords/open workstations, and holding operators accountable. Juan will discuss passwordless authentication, auditable logical access control at shared workstations, and present use cases where rf IDEAS’ reader solutions are implemented, helping facilities maintain HMI/PLC security, realizing significant production and IT cost savings.

Metal fabricators from welders to assemblers are all challenged with workforce woes, the need to boost productivity and the endless quest for quality. Knowing automation is the answer is one thing, but actually finding real success with technology investments can feel challenging and risky. How do you know what will truly bring value to the organization? How do you determine the return? And now with the hype of Artificial Intelligence (AI) seemingly on every product, how do manufacturing leaders determine the right places to invest limited time and capital?

In this session, we will delve into the ever-evolving landscape of automation & AI in the factory and take a look at technologies that are having a real impact today across the shop floor. Then we will stare into the crystal ball to look forward at technologies that are on the near horizon that manufacturing leaders should be keeping an eye on.

Covering important topics like human-robot collaboration, automated equipment tending, data-driven insights, cobot welding, predictive maintenance, robot guided vision, bin picking, collaborative automation, quality inspections, demand forecasting, finishing and much more, attendees should leave this session ready to make value-creating technology investments in their business. Join us as we explore how AI is reshaping the shop floor — one algorithm at a time.

While robotics have revolutionized automotive body shops and paint lines over the past decades, the complex, variable tasks in pre-assembly and final assembly have remained largely manual - until now. This session explores how AI-powered robotics are finally breaking through these longstanding barriers, enabling Western automotive manufacturers to automate previously "impossible" tasks while enhancing both competitiveness and workplace quality.

Maximizing Multi-Axis Motion Accuracy: A DIY Guide
Multi-axis motion systems are indispensable in various fields, ranging from manufacturing to scientific research. However, achieving high accuracy over a large workspace can be challenging due to numerous error sources. This presentation offers a comprehensive guide for individuals and teams looking to build their own multi-axis motion systems with precision.

Introduction
The presentation begins by highlighting the common challenges faced in achieving high accuracy in multi-axis motion systems. These include alignment errors, component imperfections, and external disturbances. It emphasizes the importance of a systematic approach to address these challenges and maximize system performance.

High Precision Hardware
The foundation of a high-accuracy multi-axis motion system lies in its hardware components. The presentation discusses the key characteristics to consider when selecting drive systems, bearings, and feedback mechanisms. Anti-backlash drive systems, low-pitch/roll/yaw bearings, and high-resolution linear encoders are presented as essential elements for achieving precision.

Alignment
Alignment errors are a common source of inaccuracy in multi-axis motion systems. The presentation provides step-by-step instructions for ensuring proper alignment of the support rails, cross-axis, and vertical axis. It highlights the use of precision measurement tools and techniques to achieve parallelism, perpendicularity, and verticality.

Measurement
Accurate measurement is essential for identifying and correcting errors in a multi-axis motion system. The presentation discusses various measurement techniques, including the use of granite squares, dial gauges, and vision systems. It explores methods for measuring both linear and angular errors, as well as for assessing the overall accuracy of the system.

Correction
Once errors have been identified, appropriate correction techniques can be applied to improve system accuracy. The presentation covers a range of calibration methods, including 2D and 3D interpolation-based calibration, 2-point linear calibration, multi-point calibration, and specific point of interest-based calibration. It explains the advantages and limitations of each method.

Comparison with Commercial Systems
The presentation concludes by comparing DIY multi-axis motion systems to commercially available options. It discusses the advantages of building a system in-house, such as cost savings, customization, and a deeper understanding of the underlying technology. However, it also acknowledges the potential challenges, such as the need for expertise and the time required for development.

Conclusion
By following the guidelines presented in this abstract, individuals and teams can build high-accuracy multi-axis motion systems that meet their specific requirements. The presentation provides a practical roadmap for selecting appropriate hardware, ensuring proper alignment, conducting accurate measurements, and implementing effective calibration techniques. By investing time and effort into these steps, it is possible to achieve exceptional performance and reliability in multi-axis motion applications.

To educate attendees with tools available for robotic deburring, finishing, sanding and polishing applications and how they can help address workforce issues, improve quality and consistency, improve productivity, and protect operators from the ergonomic risks associated with performing these operations manually. Example applications will also demonstrate how efficiency and improved quality can be attained through these compliant tools.

We have seen a surge in robotics startups in the last few years, but this has not necessarily translated to increased automation. Factories remain relatively devoid of robots, with human-operated vehicles dominating material movement. In this talk, we will discuss challenges across manufacturing functions in automating workflows - fear of increase in production backlogs, cybersecurity concerns, safety compliance. We will also present Ati's efforts in tackling these problems while simultaneously overcoming the long-tail of edge cases seen in real-life environments.

Condition Monitoring and Predictive Maintenance can help manufacturers improve Overall Equipment Efficiency (OEE) by reducing unplanned downtime. But what are they, and how do users get started? The number and range of solutions is growing, and knowing where to start and finding the “right” solution can be confusing and difficult.

I’ll explain typical machine failure modes, the basics of the four different maintenance approaches (reactive, preventative, condition based and predictive), common failure indicators (early warning signals) and how these are related and can be used to improve machine operation by reducing unplanned down time.

I’ll also discuss some findings based on customer feedback and research the: 1) top customer concerns - unplanned down time, challenging/costly to implement Condition Monitoring solutions, etc.; 2) general phases, symptoms and severities as a machine starts to fail; 3) most commonly monitored machine characteristics (vibration, temperature, etc.); and 4) top assets/machines which are monitored (motors, pumps, spindles, etc.).

I will then present different approaches to implementing proactive maintenance approaches ranging from using existing machine data/architectures to add-on sensors and processors to condition monitoring as a service (CMAAS).

In the ever-evolving landscape of global manufacturing and logistics, the integration of mobile robots has become a cornerstone of modern production & warehouse strategies. As it getting more and more difficult to find skilled labor, and logistics companies and manufacturers strive to stay competitive, many are turning to these versatile machines to address increasingly complex operational challenges. Mobile robots, powered by advanced software and sensors, now navigate busy floors and perform a variety of tasks across industries with remarkable efficiency.

This presentation offers integrators and end-users a comprehensive introduction to mobile robots. Drawing from a decade of hands-on experience, we will explore the critical factors for successful adoption, including how to select the right mobile robot for specific applications. Through real-world case studies, the talk will highlight key integration considerations for both warehouses and manufacturing for a successful integration.

By the end of this session, attendees will have a solid understanding of how mobile robots have evolved and the practical insights needed to successfully implement this transformative technology in their own operations.

In today’s rapidly evolving industrial landscape, businesses are increasingly turning to automation to enhance efficiency, reduce costs, and stay competitive. But is automation the right solution for your company? This session will guide decision-makers through a strategic evaluation of automation's potential fit for their operations.

We will explore key factors such as industry-specific needs, operational scale, budget considerations, and workforce impacts. Attendees will learn how to assess their readiness for automation, identify areas where automation can deliver the highest ROI, and determine whether now is the right time to invest in automation technologies. Through case studies and expert insights, this presentation will provide actionable steps to help companies make informed decisions and implement automation with confidence.

By the end of the session, you’ll walk away with a clearer understanding of how automation can align with your business goals and whether it’s the right path forward for your organization.

This will be an update to the presentation I gave the last two years on how to make machine vision integration simple. I will continue to include more real world applications and dive into a few of the items that I use in my day job to solve customer applications and make their integration life easier.

I will showcase the tools and equipment that can be used to make your machine vision application work for a long time. I will focus on the questions that you need to ask upfront during the design process to make sure you have a successful deployment.

As industries continue to advance in automation, the need for extensive programming has often slowed adoption. However, the rise of more intuitive, user-friendly robotics platforms is reshaping the landscape, allowing both end users and robotics integrators to deploy systems quickly and efficiently, without the need for deep technical expertise. This session will explore how these advanced solutions, designed for ease of integration, are enabling businesses to scale their automation efforts faster and with fewer obstacles.

Mobility is becoming an important part of many integrated manufacturing systems and logistics solutions. This session explores the opportunities created when adding autonomous mobility to your automation menu. We will discuss the key items to consider and pitfalls to avoid when choosing and deploying IMR systems.

An inherent challenge of a truly collaborative robot application is that sharing a workspace with a human introduces variability that is very difficult to handle with a robot simply cycling through pre-defined positions and instructions to complete a task.

AI driven perception is equipping robots with a broad range of capabilities to sense and compensate for variance in their environment simplifying deployment processes, reducing the need for rigid fixturing, and in many cases enabling tasks previously deemed unsuitable for automation.

We will explore how off-the-shelf models (as opposed to those trained from scratch for very specific scenarios) provide capabilities such as deep-learning driven part detection and pose estimation, work cell anomaly detection and collision aware path planning. These models combined with simple, intuitive user interfaces can add flexibility and reduce deployment times, benefiting manufacturers across a wide range of industry segments.

These capabilities are integrated into existing programming paradigms and software development environments, allowing this enhanced flexibility to be delivered with cycle time and reliability that industry expects.

Case studies showing real solutions enabled by these approaches will be presented, along with explanations of how the audience can get started working with AI in robotics without being overwhelmed.

Manufacturers throughout the world have been proactively planning for a probable economic slowdown by taking a number of strategic steps to boost resilience, ensure continued income, and maintain market relevance. Diversifying product offerings and expanding into new markets and locations are among the top priorities. A major success aspect will be the capacity to bring these innovative items to market faster, which includes shortening product development cycles.

Integrating GenAI into the nonconformity management process marks a paradigm shift in complicated R&D environments. Organizations that use AI can significantly reduce the time and resources spent on nonconformity resolution, resulting in faster product development cycles, increased creativity, and higher product quality.

As we approach these new possibilities, GenAI has enormous potential to drive innovation in the R&D sector. Companies that responsibly embrace innovative technology can expedite development processes and gain a competitive advantage by delivering high-quality, reliable goods to market faster than ever before.

This presentation explores how synthetic data is revolutionizing AI-powered inspection and vision-guided robotics in manufacturing. You'll learn how Generative AI helps overcome challenges such as data scarcity and limited edge case coverage which accelerates AI adoption across manufacturing use cases. We will discuss how synthetic data enhances model robustness, reduces bias, and improves overall accuracy. We will examine case studies showing significant accuracy improvements and reduction in deployment time in defect detection and classification use cases across manufacturing sectors. Finally, we will explore best practices for integrating synthetic data into existing workflows, enabling manufacturers to stay competitive in an increasingly AI-driven industry landscape.

The once thought impossible is now possible – Robotic Paint Repair can be achieved on a moving automotive paint line.

Hear from General Motors and 3M:

• How they created the first in the world moving robotic paint repair solution
• Why they went after the hardest solution first
• How it works
• See it run on a moving line in a GM facility

Mark Peterson, Co-founder and VP of Advanced Technology at Theia Technologies presents an insightful case study on Ultra-Wide, No Distortion Lenses Tough Enough for Crash Testing.

In the field of automotive crash testing, high-speed cameras are crucial for capturing and analyzing the dynamics of impact. Imaging systems require a variety of features to not only withstand violent environments, but also capture crisp, clear images in challenging light conditions and often in tight spaces, with the precision needed for accurate crash observation. That’s where Theia Technologies’ lenses with patented Linear Optical Technology® come in.

Since 2018 Theia’s lenses with patented distortion correction technology have found a home in vehicle crash testing. The lenses were chosen for their unparalleled wide fields of view from short distances, very low barrel distortion and high-resolution performance. Theia’s ML183M lens was originally selected for its 1.8 – 3mm focal range offering up to 120° horizontal field of view with less than 1% barrel distortion and 200 lp/mm resolution. The lens allows the onboard crash test imaging system to cover the entire width of the vehicle and its dummy passengers from closer than one half meter. The patented technology uses all optical distortion correction; no software is required to correct distortion so there is no related latency – the ultra-wide image keeps straight lines in the object straight in the image in real time.

In 2023 Theia introduced their MY23F 2.3mm 1/1.8” format lens which improves upon these features by adding ruggedization that allows it to survive vehicle crash testing impacts at 50 miles per hour during sled tests. The lens has been tested and is certified to withstand shock of up to 50G in each axis as well as vibration up to 200Hz at 10G.

The patented technology also provides increased edge resolution compared to other wide-angle optics. With patented Linear Optical Technology™ there are more pixels the farther out to the edge of the image, providing a better chance of capturing small details all the way out to the edge of the image. Both the ML183 and MY23F lenses provide 200 lp/mm resolution, enabling capture of high resolution, clear images in this dynamic crash test environment.

Until recently Theia’s patented Linear Optical Technology® and its advantages had only been available for up to 1/2.3” image sensors. With the MY23F lens, this technology can now be employed with the larger 1/1.8” sensors that are popular for their larger pixels, for greater light gathering ability, and dynamic range in challenging, low light environments.

With its 200lp/mm resolution performance, rugged design, and versatile combination C/M12 mount, the MY23F lens is without peer in machine vision today. The MY23F’s 116° horizontal field of view and 0.5% barrel distortion make it the widest, no distortion lens for 1/1.8” imagers on the market today, an excellent choice to meet the stringent requirements of onboard crash test imaging systems.

Mark Peterson will be exploring these advances, focusing on how Theia’s patented Linear Optical Technology® is revolutionizing crash testing and beyond.

This panel discussion is designed for IT and OT leaders and subject matter experts who are seeking greater speed, flexibility, responsiveness and resiliency in their operations. It does not matter who your main automation vendor is. In between automated production and autonomous production is a stage that few manufacturers have entered but that many are actively pursuing: Adaptive Production. The path to Adaptive Production runs through what the Digital Thread for Smart Manufacturing. By exploring use cases that encompass order handling and scheduling, AMRs and AGVs, AI-empowered robotics and control loops and the alignment of OT and IT data, our panel of experts will help this session’s attendants to gain valuable knowledge on the critical components and strategies necessary to achieve an actionable understanding of Adaptive Production and the foundational capabilities that make it possible. Don't miss this opportunity to learn and advance your production capabilities to be more Adaptive.

Factory of the Future planning and ideation. How does the Fiat Chrysler Automobiles World Class Manufacturing concept of “Ideal Production System” play a role in Factory of the Future? Developing a vision for Factory of the Future and promoting an innovative mindset in the workforce. Why competitive benchmarking and the understanding of Manufacturing Readiness Levels is critical when developing the roadmap for Factory of the Future. How to build a plan of execution of the factory of the future and how to use Ideal production system in the continuous improvement as the factory moves into the future.

In this session, we’ll explore the intricacies of automating fine wire handling, particularly the challenges involved with handling 46-48 gauge wire in advanced manufacturing settings. Ryan Hall will share proven techniques and creative solutions used to ensure precise handling of ultra-fine wire, including innovative tooling designs and verification methods that guarantee accuracy and reliability in automation processes. Attendees will gain insights into both established and novel approaches for fine wire automation, focusing on ways to overcome the specific challenges associated with such delicate materials.

The presentation will cover essential tools, technologies, and best practices for optimizing fine wire handling in automation, ultimately providing attendees with actionable strategies to enhance precision and efficiency in their manufacturing workflows. An open Q&A forum will follow to allow attendees to delve deeper into specific challenges and applications.

Imagine what this industry looks like from the outside looking in. GIANT automated assembly cells pick components for a PCB board assembly that needs to get soldered, inspected, and moved upstream in less than 7 seconds. Seeing all these crazy fast and highly complex systems makes the idea of automation impossible or, at the very least, an incredibly risky investment.

This idea of "tech up now, upgrade later" puts fears to rest. In this session, I will talk about how to find YOUR right process and why you don't always need to jump into a 200,000-dollar cell right off the bat. With "low-cost automation" solutions and TONS of digital tools now available automating has never been easier than it is right now. Because anytime, is a good time to automate.

Structured light illumination is a 3D imaging modality that involves projecting a series of striped or structured light patterns onto a target surface and reconstructing a model of the scene based on the warping of the stripes across the target surface observed by an opposing camera. Unlike passive methods, structured light produces scans with orders of magnitude higher resolution, making it the de facto standard for metrology applications. In this session, we will present the basic principles of structured light scanners including the needed hardware, the various pattern designs, and these patterns are used to reconstruct scans.

The landscape of American manufacturing is undergoing a seismic shift, marked by a need for increased productivity and competitiveness. In the wake of global supply chain disruptions, rising labor costs, and growing digital demand, manufacturers across the United States are integrating automation and advanced software and equipment into their operational strategy. Embracing automation and digital transformation makes processes more agile while empowering workers, enhancing safety, and keeping companies competitive.

Embracing this change is just the beginning. Digital transformation is intricate and demands organizational focus, investment, and cultural commitment, from top executives to frontline workers. It’s not something that can happen overnight – it’s a marathon, but the key is breaking it up into achievable sprints. Any successful digital transformation must focus on people, process, and technology, prioritizing people and process. A scalable digital foundation is also essential. Before your facility can deploy next-generation automation technologies like artificial intelligence (AI), digital twins, and advanced automation, you need a vision and a commitment to continuously improve and drive innovation.

Join us in this session and gain these key takeaways:

• Where and when this vision should commence, potential structured approaches, and crucial insights uncovered during digital transformation journeys.
• Gain an understanding of the data utilized in assessments to the gaps often encountered, the expected timetable, deliverables, and the process of defining business cases and KPIs for digital transformation.
• Discover the vital role of staff involvement and how assessments lay the groundwork for future scalability.

There are more than 2.7 million industrial robots safely operating in factories worldwide, and the robotics industry can take pride in its impressive safety record. For nearly forty years, A3 Robotics – formerly the Robotic Industries Association – has taken a lead role in assuring that the robotics industry continues to proactively assess the safety environment and provide safety resources as robotic applications continue to expand. At the forefront of A3 Robotics’ leadership role in industrial robot safety is the development of the ANSI/RIA R15.06-2012 safety standard. 

Join A3's lead robot safety trainer to learn to help you keep your team safe and learn the basics of conducting a risk assessment for your facilities.

In the fabricated structures community, there is a relationship between how the structure is made and how it will perform in service. One of the inherent benefits of automation is the consistency of the fabrication process that robotics afford, such as consistent heat input and process control. Combined with physics-based simulation and thermomechanical analysis structures maybe effectively optimized. However, the consistency that is possible with the application of robotic welding is compromised as the components to be fabricated vary in their shape and how they fit together. This input variation often results in distortion and residual stress profiles that are not intended. Recent developments in machine learning and artificial intelligence enable the understanding of a presented assembly variation and update of the welding plan in near real-time relative to that part condition. These developments would enable the target processes to be optimized and executed as if the physics-based simulation and optimization were computationally feasible. This takes advantage of both new approaches for machine learning based frameworks, as well as the ability to execute at the rate of production, leading to improved operational efficiencies and optimized fabricated products. This talk seeks to share progress in current work that seeks to apply this hybrid physics-based simulation with a novel learning framework that seeks to understand presented articles, how they deviate from plan and update welding plans on the fly to optimize measured distortion and residual stress. The goal is to create a system that may be added to welding systems that enable dynamic planning as presentations and conditions change in the real world, thereby making the upfront simulation work more valuable in the production phase, benefitting structures and shipbuilding fabricators as well as others concerned with as-fabricated quality.

In light of labor, geopolitical and demographic trends, supply chains need to drive productivity improvements in order to achieve more with fewer people. In addition, they must achieve greater degrees of flexibility than ever before, in order to respond to changing conditions. This presentation will cover how to future-proof any supply chain by leveraging the latest technologies, including robotics and artificial intelligence. Attendees will learn about best practices for using data and modern software practices to drive efficient robot operation and improve material workflows. The presentation will cover specific areas such as mission execution, data analytics and AI-driven insights that enhance decision-making, operational efficiency, and scalability.

In the digital age, businesses are increasingly confronted with demand spikes caused by rapid shifts in consumer behavior, seasonal trends, and unforeseen global events. Effective management of these fluctuations is crucial for maintaining operational efficiency and customer satisfaction. This seminar explores the integration of flexible Autonomous Mobile Robots (AMR) as a strategic solution to address these demand spikes. By leveraging advanced robotics technology paired with solutions expertise, organizations can enhance their logistics and supply chain processes, ensuring real-time scalability and adaptability. The discussion will present real-life customer examples demonstrating how flexible AMR automation can optimize resource allocation, reduce lead times, and improve productivity.

We'll cover the latest advancements in technology at the edge, how we can leverage them, and the business outcomes you can generate by leveraging these advancements. We'll touch on real-world examples of artificial intelligence use cases at the edge, the architecture of these solutions, and what's coming in the next few years.

In today's rapidly evolving industrial landscape, the pressure to make informed, data-driven investment decisions has never been higher. With so much at stake, how can you ensure that your automation initiatives not only gain approval but also deliver tangible, measurable results? This session is designed to help you answer that question by exploring how operational data can be harnessed to build a robust, compelling case for industrial automation investments.

Imagine the typical cycle you go through after attending a major industry event like Automate. You return brimming with ideas, eager to implement new technologies that promise to transform your operations. But then reality sets in—months of manual data gathering, lengthy sales cycles, and complex approval processes that seem to drag on indefinitely. Why does it take so long to get a piece of automation approved? Why are these cycles so drawn out, and how can you accelerate them?

This session is about rethinking that entire process. We’ll delve into real-world examples and proven methodologies that show how operational data can reveal hidden inefficiencies, predict future challenges, and highlight opportunities for automation that might otherwise take months—or even years—to justify. We’ll demonstrate how what used to be a painstaking, manual process can now be automated, allowing you to build a compelling ROI business case in a fraction of the time.

Consider the difference that data-driven decision-making can make: a 20% increase in productivity through higher machine uptime that's proactively managed, a 15% quicker turnover, and a 10% improvement in cost-efficiency. Imagine achieving a 30% improvement in safety and compliance, a 10x reduction in time wasted finding tools and materials, and even a 4x faster approval rate for automation projects. These aren't just numbers; they represent the transformative potential of leveraging your operational data effectively.

We’ll also discuss practical strategies and tools for transforming raw data into compelling narratives that speak directly to the needs of your stakeholders, whether they’re in operations, finance, or technology. By the end of this session, you'll be equipped with the knowledge and tools to confidently advocate for automation solutions that are not only technologically sound but also financially justified.

Join us as we explore how to let your data speak—because in today’s industrial world, data is more than just numbers; it’s your most powerful ally in driving smart, effective, and fast-tracked automation investments. Through this session, you'll discover how to cut through the noise, accelerate your approval cycles, and ultimately, ensure that your automation investments deliver the significant returns your business needs to stay competitive.

So, whether you're still working on getting an automation project approved from last year or you're just beginning to consider the possibilities, this session will provide you with the insights, strategies, and tools to turn your operational data into a strategic asset—one that can unlock new levels of efficiency, safety, and profitability for your organization.

Machine vision tasks like quality inspection, identification, and robotic guidance might be the first to come to mind when considering this valuable technology in industrial automation. Just as important though is machine vision’s capability to perform precision, in-line metrology or “measurement”. Automated, non-contact measurement however, can present some unique implementation challenges in the execution of a robust and reliable application. This discussion will cover a few of these sometimes-overlooked key issues and some best practices that can help ensure application success.

In this session, Tarciana Almeida, a Simulation Research Scientist at Amazon, will explore how Discrete Event Simulation (DES) is transforming logistics and operational efficiency. She will discuss the use of DES in process validation, bottleneck identification, and system optimization in complex environments. Attendees will gain insights into how simulation models can predict performance, validate assumptions, and drive innovation, ultimately improving throughput and ensuring timely delivery. This session is ideal for professionals looking to leverage simulation technology to enhance operational processes and decision-making.

In the face of increasing complexity and a shortage of skilled labor, manufacturers are seeking innovative solutions to streamline operator onboarding, training, and real-time assistance. This session explores how cutting-edge AI technologies—Vision-Language Models (VLMs), Large Language Models (LLMs), NVIDIA Inference Microservices (NIMs), Omniverse digital twins, and NVIDIA's advanced workflows—are revolutionizing operator support in manufacturing environments.

We delve into how these models and microservices leverage multimodal data sources, such as training videos, augmented reality (AR) training sessions operational footage, and richly illustrated manuals, to create intelligent AI agents. These agents understand and interpret visual and textual information, providing operators with immediate, context-aware guidance. By encapsulating LLMs, VLMs, and foundational models within NIMs, we ensure that AI deployments are optimized for performance and scalability, facilitating seamless integration into existing systems.

Many manufacturers launching new products are challenged with how to scale their manufacturing operations, with capital equipment investment being a major consideration. With new products and new processes, come several challenges that are not as prominent in steady-state, mature product manufacturing. There are many more risks and unknowns, but with some planning and thought around some of those risks, they can be mitigated to enable a successful manufacturing ramp-up. In this session, I will share some of the considerations for manufacturing scale-up. We’ll talk about some best practices and pitfalls I have seen from the perspective of an automated equipment builder.

Topics Include:

• Considerations for Implementing a Phased Ramp-Up Plan
• Automation Concept Development
• Mitigation of New Automated Process Risks
• Considerations for Autonomous Operation
• Use of Digital Twin Technologies
• Early Planning of Data Architectures
• Planning Transition to Operations

1. Enhanced Safety Features of Autonomous Forklifts
Explore the latest safety features in autonomous forklifts, including state-of-the-art collision avoidance systems, obstacle detection sensors, and emergency stop functions. These technologies are designed to enhance operational safety and minimize risks on the factory floor.

2. Safe Human-Robot Collaboration in Manufacturing
Review the best practices implemented by automotive manufacturers to ensure safe and efficient interaction between autonomous forklifts, human workers, and machinery. This section highlights real-world strategies for mitigating risks and ensuring smooth workflow integration.

3. Training and Safety Protocols for Autonomous Forklift Operations
Examine the critical training programs and safety protocols necessary for personnel working alongside autonomous forklifts. This includes continuous updates to safety measures and maintaining compliance with industry standards to ensure a safe and productive environment.

Automation is no longer just a buzzword—it's a necessity for companies looking to stay competitive in a fast-changing market. But is it the right fit for your organization? In this session, we’ll walk through how to assess your site’s readiness for automation and craft a business case that aligns with both your operational goals and workforce capabilities.

Before embarking on automation, it’s vital to ensure that your processes are already optimized for efficiency. We’ll dive into key preparatory steps such as adopting Kaizen and continuous improvement methodologies, implementing zero-waste strategies, and refining workflows to eliminate inefficiencies. By streamlining operations upfront, companies can unlock the full potential of their automation investments.

Equally important is gaining buy-in across your workforce. Automation shouldn't be limited to engineers or specialists—it should be a tool that empowers operators and technicians on the factory floor. By fostering a culture where robots and automation tools are seamlessly integrated into daily tasks, your team can take ownership of the technology. This leads to better management, maintenance, and innovation, ensuring long-term success.

By the end of this session, you’ll have a clear roadmap to sustainable automation that not only boosts productivity but also empowers your workforce to actively participate in the future of manufacturing.

This presentation will explore the critical role of perception technologies in enhancing the capabilities of industrial welding robots. We will delve into current advancements, the potential benefits for manufacturing efficiency, and the challenges that come with integrating sophisticated perception systems.

The decision to move from a manual to an automated process has historically been a laborious, lengthy, and capital-intensive endeavor. Calculating the return on investment (ROI) of such a project is critical to the decision-making process. Companies beginning their automation journey tend to look at robots as a 1 to 1 replacement for their workforce leading to expensive over-tooled and over-automated processes. Focusing solely on labor replacement can lead companies to vastly undervalue some of the less obvious cost savings created by the switch to robotics.

In this presentation, we will be discussing some of the best practices and common pitfalls to avoid when calculating the ROI of a robotic implementation, including:

• Efficient system design for a high-mix manufacturing environment
• Cost benefits from increased production and decreased waste
• Indirect cost benefits generated from increased worker satisfaction and safety
• Long-term cost savings from greater traceability, product consistency and re-deployability

By considering these concepts, we can move toward considering robots as part of an overall process improvement opportunity versus simply as a direct replacement to workers. Doing so brings into consideration improvements to the production environment, increased product quality, and enhanced company profitability. Ultimately a refocused ROI calculation will help companies pivot from mid-line labor expenses to top-line revenue and bottom-line profitability.

NOTE: Laptop needed to participate in the course’s hands-on exercise.

This comprehensive 4-hour course delves into the design of autonomous AI agents, focusing on the principles, strategies, and methodologies used to create intelligent systems capable of autonomous industrial operations. Through a blend of theoretical instruction and hands-on projects, you will learn how to design, implement, and evaluate these agents.

At the end of the course, participants will have the opportunity to test their knowledge by building an AI agent for a real-world scenario using a no-code toolkit. 

Demonstrating safety to customers and code authorities is key to expanding your business opportunities for industrial robots, robot systems and autonomous mobile robots. Verification and validation is an important foundation to convey safety to customers, and demonstrating enhanced safety testing can be crucial in opening up expanded sales markets in a range of industries, including manufacturing, warehousing, distribution centers, and inspection for hazardous locations.

This session will convey how testing to UL robotics standards can help further demonstrate safety for robots, components and systems, including fire and shock risks, energy & battery system hazards, functional safety, object detection & avoidance, and injury hazards. Learn how testing to UL robotics standards can help complement your A3/RIA verification and validation to open up new business segment and market opportunities for your robot products.

Hyperspectral Imaging (HSI) is revolutionizing industrial machine vision by offering unparalleled precision in detecting and sorting materials. Unlike traditional imaging methods, HSI captures data across hundreds of spectral bands, extending beyond the visible range, making it ideal for the most demanding industrial applications.

As industries increasingly adopt HSI, it proves indispensable in applications where traditional technologies like RGB and X-ray fall short. From black plastic sorting and semiconductor material quality assurance to food processing and safety, HSI is becoming a cornerstone of advanced industrial processes.

This session delves into how HSI tackles the most complex challenges in industrial environments. We will also explore software solutions for integrating HSI into inline processes, enabling real-time monitoring and quality control, and discuss strategies to overcome key challenges in its implementation.

Many manufacturing companies are facing an acute shortage of qualified workers. Deploying robotic cells is a potential solution to address this challenge. Historically robots have been deployed only in mass production applications in manufacturing. A large fraction of manufacturing is classified as high-mix manufacturing where a large variety of products are produced in small quantities. Manually programming robots is not a viable solution in high-mix manufacturing applications. We need smart robotic cells to make them useful in high-mix manufacturing applications.

AI-powered digital twins are ushering a new era of manufacturing by lowering costs, reducing errors, improving quality, increasing performance, and reducing the environmental footprint. This presentation will begin with an overview of digital twin technology that can be used to significantly improve performance of smart robotic cells. A digital twin is a digital counterpart of a real-world system. The digital twin performs continuous model updates using sensor data to mirror the current state of the physical system. Therefore, information flows from the physical system to the digital twin. A digital twin is also used to influence the operation of the physical system. Therefore, information also flows from the digital twin to the physical system. This two-way information flow makes digital twins different from purely digital models.

The next part of this presentation will describe how digital twins are being used in smart robotic cells. Digital twins are being used to provide information to task planners and schedulers to make decisions about the next tasks to perform based on the current state of the cell. Digital twins also enable monitoring the performance of the cell in real-time and use this data to predict when maintenance is needed, reducing unexpected downtime and preventing machine breakdowns. Digital twins are being used for identification of defects and perform real-time quality control. By analyzing manufacturing process data, digital twins are able to identify areas for optimization and recommend changes to realize improvements. Digital twins are able to provide a detailed record of processing/operating conditions to ensure compliance with relevant regulations. Digital twins can be used to optimize the manufacturing operations in real-time to support on-demand production of personalized products in a cost-effective manner.

The final part of the presentation will discuss how AI is adding new capabilities to digital twins. Simulations are necessary to generate optimal plans for performing autonomous operations. Traditional simulations lack the speed required when dealing with part models with uncertainties. Machine learning is being used to create fast simulations based on neural networks, endowing digital twins with new planning and prediction capabilities. Tool motion cannot be safely executed using position control in the presence of uncertainties. An AI-based controller needs to be used that uses force feedback to dynamically adapt tool motion to prevent part damage and maximize tool life. AI-based prognostics and health management can be used by digital twins to ensure that the onset of adverse events can be automatically detected and corrective actions can be taken. For example, the digital twin can utilize the force and vision data to determine the cause of rapid tool wear in robotic finishing and take corrective measures to prevent it.

As a Manufacturing Innovation Institute part of the Manufacturing USA Network, the ARM (Advanced Robotics for Manufacturing) Institute makes robotics and artificial intelligence (AI) more accessible to manufacturers of all sizes to strengthen U.S. manufacturing. The ARM Institute does this by leveraging its 450+ member organization ecosystem comprised of manufacturers, robotics and AI providers, start-ups, universities, community colleges, MEPs, government entities, and others. By bridging the gaps between these diverse groups, the ARM Institute identifies key issues inhibiting robotics and manufacturing and catalyzes impactful projects to address areas of need.

This presentation will detail a few impactful success stories and use cases from ARM Institute-funded projects with a focus on how these innovations are helping the industry today. Attendees will learn how they can get involved in future ARM Institute projects and leverage the outputs from the 120+ projects that the ARM Institute has funded since 2017.

Focusing on the complexities of robotic depalletizing, this presentation will present actionable solutions using real-world case studies, visuals and personal anecdotes. In it, the most common depalletizing issues will be presented and discussed, with analysis offered on how to determine the best course of action based on individual needs.

This presentation will focus on:

•  The impact of visual guided robotics on the application as well as anticipated process improvements
• How AI and machine learning has been used to improve the vision process (particularly in accurate item segmentation)
• The critical role that end-of-arm tooling plays as packages become heavier or less stable
• Pros and cons of current tooling selections in the marketplace

Converting manual assembly or production processes into automation presents significant challenges, particularly in justifying the Return on Investment (ROI). A common misconception is that automation requires an “All or Nothing” approach, where fully automating everything makes ROI seem unattainable. However, this is not true. There are strategic ways to begin the automation process, achieve a reasonable and acceptable ROI, and gradually transition to automation. This session will guide companies through practical steps to integrate automation into their facilities.

The ARM (Advanced Robotics for Manufacturing) Institute convenes subject matter experts from across its 450+ member organization consortium to identify pressing areas of need in robotics and AI for manufacturing. One such area that the ARM Institute has focused its project and technology strategy around is agile autonomous systems. This presentation will center on how the ARM Institute has catalyzed innovations in agile autonomous systems in areas such as visual inspection, finishing, path planning, part insertion, and others. The presentation will also explore the use of artificial intelligence (AI) as a key enabler in ARM Institute projects and how the ARM Institute will continue to build on this momentum.

Attendees will walk away from this session with an understanding of the latest advancements in agile autonomous systems, how they can get involved in driving further innovations, and what’s next in this area.

This educational experience is designed for IT or OT professionals with a responsibility for – or an interest in –  OT cybersecurity. It does not matter who your main automation vendor is.  In the quest for enhanced manufacturing performance, connecting all assets on the shop floor to harness your production data is foundational. But it also increases the attack surface of the OT environment.  Understanding this challenge and the necessary defense strategies is essential to continuously securing your ecosystem. Learn about the most advanced risk assessment methodologies, best practices and cybersecure technologies that contribute to a robust and dynamic defense ecosystem: all consistent with the NIST 2.0 framework. You will leave with new ideas and new tools to secure your OT environment.

What are the keys to designing a high performing warehouse of the future? The answer is very different than in the recent past. Today, supply chain leaders face continuously evolving challenges like labor shortages, demand surges and a multitude of supply chain disruptions. To combat these challenges and thrive as an organization, leaders must create and implement flexible warehouse strategies for supply chain resilience. In this session, enVista’s supply chain strategy experts will share the critical components required to design the warehouse of the future.??

Variable frequency drive systems are frequently sized based on peak utilization. This presentation will explain the historical reasoning behind that approach and will offer an alternative strategy of designing the energy supply of drive systems around each specific application. The benefits include reduced peak power requirements, reduced dependency on power supply quality, reduced infrastructure costs, and protection of equipment investments.

This panel should include a mix of tech providers and manufacturers to discuss the logistics of successfully deploying new technology in manufacturing facilities. Often, the exciting new technology we see demoed at industry events is not ready for real-world production. We will discuss Pat Gelsinger's Laws of the Edge, change management strategies, and methods of extracting short-term and long-term ROI from new technology.

We'll review the latest advances in AI and robotics, and what's possible now with the latest advances in demonstration learning. Our company makes handheld devices that allow training robotic arms through demonstration, and we show examples of the types of tasks this enables that were not previously possible. We'll also go through how the AI models work, and the implications of this new way to program a robot.

Manufacturing and its challenges are constantly changing and evolving. In the last several years those challenges have been accelerated and left manufacturers needing new tools to deal with them effectively. The same old way of doing things simply isn’t good enough anymore and new tools are needed.

Simulation allows you to visualize and better understand your manufacturing process. From capturing concepts and ideas to get everyone on the same page and to launch continuous improvement projects, simulation can give you the edge in your industry. By comparing scenarios in the simulation environment, you can use the statistics Visual Components can generate to make data driven decisions that you are genuinely confident in.

Want to automate processes but are unsure where to begin? Simulation can show you exactly what the outcome will be so you can avoid zero net gain or even worse, have unintended consequences because of a consequential decision. Automation for the sake of automation is never a good idea, but using simulation can determine the best-case scenario for the improvement of a process.

Robots, AGVs, and AMRs are often the focus of automation which makes sense. People however are just as important. With the shortage of skilled workers, having them in the right places is critical for a process to achieve maximum efficiency. Along with those highly coveted skilled workers, the interaction of all resources is essential when it comes to understanding the complete manufacturing process.

The right automation and the right people in the right places can lead to increased thruput, efficiency, reduced capital expenditure, a smaller footprint, and an increase the bottom line. Simulation lets you achieve all of these without having to disrupt your ongoing process.

Simulation is no longer a novelty, but a necessity for companies looking to use all of the tools available to them to improve processes and do more with less at the same time!

The Advantages of Digital Fluid Power for Industrial Applications
Hydraulics and pneumatics have long been key actuation technologies for all kinds of industrial and in-plant applications. Recent advances in the digitalization of fluid power have increased their capabilities and provided for deeper hybridization and integration with electrical and other systems on industrial machines. In these three sessions, we’ll hear from three fluid power suppliers, talking directly about the application of these new technologies in the in-plant environment, with each engaging the audience in a robust question and answer session about current and future developments.

Moderator: Eric Lanke, President/CEO, National Fluid Power Association

Emerging Technologies have added a degree of sophistication to the plant floor. Collective wiring has migrated to networked communication. Different topologies can be used to connect devices such as IO-Link and the integration of safety circuits both hardwired and over network bring about new challenges. Together we explore the integration of emerging technology and the expansion of functional safety to fluid power components.

This session dives deep into overcoming challenges in robotic vision, with a focus on 3D vision-guided robotics innovative solutions:

Conquering Occlusions with MultiView:
Traditional single-perspective 3D scanning often struggles with complex shapes and reflective materials. Think thin metal sheets, bins with compartments, or objects with intricate geometries. Crucial features get hidden, leading to missed parts, inaccurate grasps, and slow cycle times.
MultiView approach in 3D VGR tackles this head-on by merging scans from multiple viewpoints. This reveals hidden details, ensuring precise localization even for the trickiest objects. Imagine capturing every intricate curve of a thin, reflective part, no matter how it's positioned. This is a game-changer for applications demanding high accuracy and reliability.  

The Power of Parallel Structured Light:
Underlying this breakthrough is patented Parallel Structured Light technology. Unlike conventional structured light, which relies on sequential images, Photoneo captures the entire scene in a single snapshot. This eliminates motion blur and provides high-resolution 3D data even with moving objects.  

Key Advantages:

• Unmatched Accuracy: Capture precise 3D data even for complex shapes and challenging materials.
• Speed and Efficiency: Eliminate the need for time-consuming repositioning and regripping.
• Motion Compatibility: Scan objects in motion, opening up new possibilities for dynamic applications.

This session showcases how MultiView and Parallel Structured Light technology work together to overcome limitations in robotic vision, enabling a new era of automation possibilities.

In today’s fast-paced digital world, Generative AI is emerging as a game-changer, redefining how industries operate and innovate. Join us for an in-depth exploration of how this cutting-edge technology is empowering organizations to drive unprecedented productivity and agility. Discover how Generative AI enables employees to quickly access critical information, automate report generation, and even expedite application development—transforming everyday tasks into efficient, data-driven processes. We’ll dive into real-world use cases from Amazon and AWS customers across finance, healthcare, manufacturing, and retail, demonstrating how AI services are accelerating the data-to-decision lifecycle. Whether you're looking to enhance operational efficiency or drive innovation, this session provides a roadmap to harnessing the latest advancements in AWS’s Generative AI solutions to achieve impactful results.

They first enriched our lives in the 1980’s when they were first widely deployed in the automotive industry to help improve the quality of the welding & painting of cars across all the automotive manufacturers in Michigan. So much so, that General Motors owned their own robotics company called GMF Robotics. They needed this technology & like many internet companies of today, they wanted to own a company that would give them a competitive advantage. GM would eventually sell their stake in the robotics venture so the robots could be sold commercially to other manufacturers. The need for welding and painting robots mostly led to the development of the 6 axis articulated arm that funded the growth of that industry.

On the other side of the world, Seiko watches needed to develop specialized robots to assembly precision watches together to improve the throughput and quality of their watches. So they developed a line of robots that they in turn sold commercially to other manufacturers. The manufacturing need of small precision assembly led to the development of the Scara robot and funded the growth of that industry.

These are just 2 examples of manufacturers with a unique set of manufacturing needs that resulted in the development of robotic technology that would help them get a manufacturing advantage in the industry and that they would eventually sell to other manufacturers.

In todays world, we have a new unique set of problems that are mostly being met by off-the-shelf robotics that have been around for the better part of 30-40 years. The next evolution of robots could certainly come from similar type of circumstances that spawned the modern robotics industry.

There is a need for robots to cover a new and set of challenges and a accelerated sensing technology that is currently being developed by the automotive industry for autonomous vehicles. Will this be the catalyst for the next generation of robots?

When a 3,000lb car can drive itself on an expressway with sensors, camera’s and GPS navigation – we may just have the recipe for the next set of robots that could very well be developed outside of the traditional robot suppliers who faced the same challenges in the 1980’s.

You combine the sensing technology that cost less than $3 to make with a vision system and a localized GPS & you have the ultimate crash free worker friendly robot. Will an industry needing such a robot be the first to use & deploy internally & then sell to the rest of the world? This & other ideas could be replicated if the traditional robot suppliers remain building the same robots they started with.

Lets explore different ideas, concepts, and let our minds wander at what the future may be like and who may be making the next big idea in robotics a reality.

The ability to make highly accurate measurements with a precision to a small fraction of a pixel is a strength of machine vision that sets it apart from human vision and many alternative technologies. One consideration is how to correlate machine vision measurements with alternative measurement techniques. However, there are still other limits to how accurately and precise machine vision can perform measurements. This talk looks at these limiting factors. Some of these factors are the dependence on models for the shape of the edge, for the optical waveform across the edge, the interaction of the lens and image sensor, and for the image sensor itself. Some of these factors can be addressed with appropriate system design considerations. Still, a few factors are outside available technology to mitigate and need to be considered when creating a system specification.

This talk identifies a number of factors that affect the accuracy and precision of measurements and identifies which can be resolved through careful system design and which are limitations with today’s technology.

Large economic blocks, the U.S. and EU, are implementing new Minimum Efficiency Performance Standards for electric motors based on International Electrotechnical Commission ratings (i.e., IE4, IE5).

This session will provide a breakdown of those MEPS and offer options (with use case examples) on how to comply. That includes demonstrating how advanced Motor CAD and printed circuit board technology can offer manufacturers a solution.

Risk assessment is a key step in the development of safety solutions for all robot systems. When IMRs are part of the system, the risk assessment approach needs to be expanded beyond the typical task/hazard pairs of traditional systems. This session explores the additional scope to be considered when autonomous mobility is introduced.

Panel Discussion:

As industries transition from Industry 4.0 to Industry 5.0, the focus expands beyond automation to include human-centric innovation and sustainability. This shift introduces challenges, including integrating IT and OT systems, managing cybersecurity risks, and upgrading legacy infrastructures. Businesses must embrace these changes while ensuring both profitability and responsible growth.

This panel will explore how Open Automation technologies, such as EcoStruxure Automation Expert (EAE), drive responsible profitability by offering flexible, vendor-agnostic solutions that optimize operations and enable data-driven decision-making. Open automation promotes transparency, reduces reliance on proprietary systems, and supports sustainability by optimizing resource utilization and enabling circular economy practices. It also empowers businesses to adapt to evolving demands and fosters collaboration and continuous improvement.

We’ll discuss how open automation not only enhances efficiency and profitability but also empowers the workforce of the future, providing the tools to thrive in a world driven by AI, IoT, and sustainable innovation. Discover how open automation bridges the gap between Industry 4.0 and Industry 5.0, delivering economic, environmental, and social value.

The Advantages of Digital Fluid Power for Industrial Applications
Hydraulics and pneumatics have long been key actuation technologies for all kinds of industrial and in-plant applications. Recent advances in the digitalization of fluid power have increased their capabilities and provided for deeper hybridization and integration with electrical and other systems on industrial machines. In these three sessions, we’ll hear from three fluid power suppliers, talking directly about the application of these new technologies in the in-plant environment, with each engaging the audience in a robust question and answer session about current and future developments.

Moderator: Eric Lanke, President/CEO, National Fluid Power Association

Leveraging digital technologies such as digital communications, machine learning, artificial intelligence, Internet of Things, and Edge Computing can improve the operation of pneumatic systems. Specifically, the maintenance process, energy consumption, and machine safety. Machines must be digitally connected to access data from smart devices to achieve this. We will discuss the use of these technologies. The basis will be on ethernet and IO-Link. We will touch on performance characteristics such as speed, capacity, and security. We will then look at use cases that will provide benefits to machine builders, including networked safety, sustainability, and predictive analysis.

The presentation will use examples from multiple projects to show how Virtual Commissioning (VC) and Simulation are powerful tools that play a critical role in enhancing industrial automation processes. By integrating VC and Simulation into the project workflow, companies can significantly mitigate risks and ensure more accurate scheduling, which allows for the early identification of design issues before they impact production timelines. These tools also reduce stress on both employees and customers by providing a more controlled and efficient debugging process. Furthermore, VC enables more exhaustive software testing in a simulated environment, ensuring system reliability and performance. The use of Virtual and Augmented Reality (VR/AR) further enriches design review capabilities, offering immersive visualization and interaction with the system, leading to more informed decision-making. This proactive approach results in improved system quality, greater efficiency, and a more streamlined commissioning process.

In today’s fast-paced manufacturing landscape, efficient and responsive material handling is crucial. This session explores how Automated Mobile Robots (AMRs) are transforming workflows in large-scale environments with diverse inventory needs. Attendees will discover how AMRs, integrated with advanced fleet management systems, enhance warehouse operations by enabling dynamic pickup allocation, seamless material requests, and real-time responsiveness.

The presentation will detail how robust fleet management uses real-time data to allocate warehouse pickup points based on inventory, production schedules, and material flow. This strategy reduces AMR travel time, minimizes congestion, and boosts overall efficiency. Participants will also learn about integrating an advanced call-off system that links production line requests to the fleet management system, ensuring just-in-time material delivery.

Additionally, the session will showcase how sophisticated software optimizes AMR routes and schedules, using a 'taxi line' approach for quick task assignments and efficient pre-positioning. This flexibility reduces buffer zones, freeing up space and enhancing facility utilization.

Through case studies and real-world examples, the session demonstrates how AMR integration boosts flexibility and efficiency, supporting just-in-time delivery. Attendees will gain insights into how these innovations redefine material handling, helping companies stay competitive in a dynamic industry.

IO-Link technology has seen significant growth recently, offering companies opportunities to enhance process efficiency and cut costs. With standardized wiring, enhanced data availability, and advanced diagnostics, the benefits are undeniable.

In this presentation, explore some of the newest products to optimize operations, like a multi-port IO-Link master, enabling rapid cycle times of up to 400µ and real-time capabilities, maximizing sensor potential. You'll even experience a live demo of a free PC software, Baumer Sensor Suite, that simplifies sensor parameterization, regardless of the manufacturer. Don't miss this chance to discover cutting-edge technology that saves time and resources.

Key Learnings:

• Unlocking IO-Link Benefits: Learn from real-life applications
• Discover the newest IO-Link products
• Get a live demo of a free PC software called Baumer Sensor Suite for easy parameterization

The Advantages of Digital Fluid Power for Industrial Applications
Hydraulics and pneumatics have long been key actuation technologies for all kinds of industrial and in-plant applications. Recent advances in the digitalization of fluid power have increased their capabilities and provided for deeper hybridization and integration with electrical and other systems on industrial machines. In these three sessions, we’ll hear from three fluid power suppliers, talking directly about the application of these new technologies in the in-plant environment, with each engaging the audience in a robust question and answer session about current and future developments.

Moderator: Eric Lanke, President/CEO, National Fluid Power Association

When you think about traditional hydraulic systems, the first thing that may come to mind is a loud energy hogging oily solution. These types of machines are a thing of the past thanks to the harmony of electrification with hydraulic systems. This transition is driven by advancements in hydraulic motion control, variable speed drives and clever system design, enabling the replacement of conventional hydraulic components with electro-hydraulic alternatives. Electrified hydraulic systems offer benefits such as improved energy efficiency, reduced emissions, lower maintenance requirements, and enhanced system controllability. Applications span across industries such as industrial automation, heavy manufacturing, plastics processing, machine tool and more where the demand for cleaner and more efficient power solutions continues to grow. During this presentation we will discuss the concepts that will provide benefit to machine builders, including the integration of VFDs and servo drives in hydraulic applications, a different concept of a hydraulic power unit, and the benefits of power density with hydraulics.

With a built-in AI vision system, there are numerous case studies showcasing how our customers use the Techman AI Cobot to enhance production while improving quality. Techman Robot provides integrated and flexible solutions for vision positioning and inspection with cobots.

With increasing labor rates and low unemployment, how do you drive better performance from your employees? In this session from enVista, you will learn how to drive performance by creating "industrial athletes" in your distribution centers (DCs). This session will highlight key themes from the book "Supervising on the Line".?

• Discover strategies to enhance performance in DCs despite rising labor costs and low unemployment.?
• Learn how to develop "industrial athletes" within your workforce to boost efficiency and productivity in your DCs.?
• Gain insights from the book "Supervising on the Line," with all eligible attendees receiving a complimentary copy.?

In today's fast-paced manufacturing landscape, ensuring quality and adherence to standard operating procedures (SOPs) is crucial for success. However, traditional methods of quality control can be time-consuming, prone to error, and often reactive rather than proactive. In this talk, we'll explore how artificial intelligence and computer vision can transform quality control and assembly monitoring for manufacturers. Discover how AI-powered computer vision can automate quality inspections and defect detection, enhance traceability and compliance, improve production efficiency and reduce waste, and provide real-time insights for data-driven decision-making.

Robots in machine tool operations often have idle time between cycles. Instead of letting them sit dormant, utilizing this downtime for secondary tasks—such as material removal—can significantly boost efficiency. This session dives into the world of automated material removal, covering what it is, why it's essential, and how to implement it effectively.

Material removal, including deburring, grinding, and polishing, eliminates unwanted material left behind by processes like turning, milling, or welding. Failure to address this can lead to assembly issues, safety hazards, poor aesthetics, and even increased corrosion. While material removal is crucial, it’s often overlooked until late in the process, leading to inefficiencies. Many manufacturers use machine tools—major capital investments—to handle basic material removal, but these tasks can be automated with robots and specialized tools, improving throughput and reducing cycle time.

In many cases, manual material removal is still the norm, resulting in repetitive, dirty, and sometimes dangerous work for humans. This can lead to inconsistent quality and even defective parts. By automating these processes, manufacturers can enhance quality, consistency, and safety, though variations in workpieces can make this challenging. In this session, we'll explore strategies to overcome these obstacles, such as improving positioning accuracy, measurement capabilities, and tool compensation.

Attendees will gain insights into the benefits and challenges of robotic material removal and discover how different methods can be used to address workpiece defects. Real-world examples will highlight how automation can be successfully integrated and deployed to increase productivity and reduce human error, making material removal a more streamlined and effective process.

This educational experience is designed for IT or automation professionals involved in implementing AI to enhance quality in production, or for any industrial professionals who have an interest in the key considerations for successful AI deployment in the operational environment. It does not matter who your main automation vendor is. Discover how AI and vision technology have already transformed quality assurance and what further advancements lie in the near future. This session will review success examples that will help attendants form a concrete foundation upon which to build their own AI-powered quality capabilities. A range of use cases will be considered: from implementations using pre-built apps to more complex scenarios involving IPCs with AI accelerators, and how to deploy and manage AI networks effectively across multiple devices. And as the real and digital worlds continue to merge, learn how synthetic data generated from your CAD models can advance the robustness of you OT cybersecurity capability.

Time studies, Assembly Line Balancing, and Workstation/Cell/Line Design take months of Manufacturing Engineer’s time even for a small assembly line. This is a major bottleneck in the Operational Excellence strategy of many high volume manufacturers. 

We will outline the use of GenAI tools to streamline this down to a couple of hours.

Specifically, we will describe workflows that go from smartphone videos to automatically generate time studies and work instructions, and from there to automatically balanced lines according to the evolving needs of a business, and finally, to the physical design and layout of the shop floor - all using AI. We will showcase the ROI with case studies from two leading manufacturers.

Are you new to industrial cameras, or have you faced the limitations of smart cameras in past implementations? Whether you're a beginner or looking to deepen your knowledge, this session is designed for you. Join us as we explore the world of industrial cameras, breaking down fundamental terminology, essential components, and potential challenges to avoid. You'll learn about key concepts such as shutter types, resolution, interfaces, and communication protocols, and why these features matter in real-world applications.

We’ll also cover strategies for optimizing costs through intelligent solutions, helping you make smarter choices. By the end of this session, you'll be equipped with the confidence and knowledge to discuss industrial camera technology with integrators, customers, and suppliers—and fully understand its potential beyond the limits of smart cameras.

Imagine a world where the process of creating custom-engineered products flows effortlessly, free from the bottlenecks of manual part numbering. This session introduces how a global leader in electrical transformers innovatively use AI and OpenAI Vision to transform the way custom parts are identified and produced. For a business selling largely to data centers through mechanical contractors, speed is everything—especially when it comes to handling unique, one-of-a-kind designs.

Starting with a team of 12 design engineers, crafting 50-100 custom products a week, the AI solution seeks to solve the current challenge of the time-consuming task of assigning part numbers manually from custom design drawings. By harnessing the power of AI, they’ve revolutionized this process. Their solution reads design drawings directly from PTC Creo design files, capturing key details like dimensions and features to automatically assign smart part numbers. No more delays, just seamless, automated part identification that keeps production moving at top speed.

In this session, you’ll witness how AI not only accelerates part numbering but also integrates effortlessly into existing systems, transforming custom manufacturing from complex to streamlined. Attendees will learn how this AI solution compares new designs to a vast product catalog, instantly assigning numbers that work across production and delivery. This is just the beginning—this manufacturer’s AI journey promises to evolve, bringing even greater efficiency and scalability as they continue to push the boundaries of what’s possible.

Join us to explore how AI can elevate your operations and open the door to a faster, smarter future in manufacturing.