AI, Software, Smart Automation

AI, Software, and Smart Automation conference presentations for Automate 2024.

Cutting Through the Hype

Cutting Through the Hype

This talk will explore state-of-the-art techniques and tools for validating AI models and performance metrics tailored to specific industrial use cases and highlight the need for rigorous error analysis and the development of fail-safe mechanisms to mitigate risks. We will discuss real-world case studies demonstrating the impact of AI failures and the strategies employed to prevent and manage such incidents. We will delve into the significance of robust testing frameworks to ensure the reliability and performance of AI models. We will emphasize the importance of repeatability and stability, particularly in the face of new training data, which is essential for maintaining the integrity of AI systems over time. 

James Davidson, Chief Architect, MiR

Jeremy Rockman, Product Marketing Manager, Mobile Industrial Robots

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Why Ease-of-Use is Key for Flexible Robot Solution

Why Ease-of-Use is Key for Flexible Robot Solution

The session will give an overview of why ease-of-use is important for flexible robot solutions and how it can be achieved followed by the example of an easy-to-use flexible robot solution by Zimmer Group.

Martin Naumann - CEO, drag and bot GmbH (part of KEBA group)

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Leveraging UL Robotics Standards Testing

Leveraging UL Robotics Standards Testing

This session will demonstrate 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 segments and market opportunities for your robotics products.

Jason Smith, Principal Engineer - Commercial Robotics, UL Solutions

Michael Jensen, Product Manager - Industrial Robotics, UL Solutions

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Leveraging AI to Deliver Human-Centered Automation

Leveraging AI to Deliver Human-Centered Automation

This presentation will provide an overview of physics-informed AI technologies that enable robots to learn safe and efficient autonomous tool manipulation. These new technologies serve as the foundation for realizing smart automation for sanding, polishing, buffing, spraying, and coating applications. AI-based planning enables the automated generation of efficient robot trajectories for performing complex tool motions to meet process-specific requirements. The use of synthetic images generated from physics-informed simulations enables the use of deep learning in defect detection. Self-supervised active learning enables the robotic cell to autonomously and safely conduct experiments to learn the process parameters most efficiently. Generative AI techniques enable humans to interact with robots in a much more natural way.

Satyandra K. Gupta - Co-Founder & Chief Scientist, GrayMatter Robotics

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Developing High Mix Capability

Developing High Mix Capability

This talk will share the developments and the method for validating, as well as the foundations that were left at a collaboration University to enable them to develop additional capabilities leveraging ROS but ensure they are easily consumed by stakeholders. It is anticipated that additional universities will seek to add the framework to their lab systems to enable furthering component technologies to increase the array of processing that is capable. The foundation is the already open-source scan_n_plan workshop which has been featured in numerous demonstration venues and training workshops and is also available open source for further application development.

Matthew Robinson, ROS-Industrial Consortium Americas Program Manager, Southwest Research Institute

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Accelerating AI for Industrial Robots with NVIDIA

Accelerating AI for Industrial Robots with NVIDIA

AI’s transformative power is paving the way for manufacturers to extend their capabilities in visual object inspection, on-floor activity monitoring, work cell design validation, and 3D perception for mobile robots. In this session, Erin Rapacki will provide actionable insights into deploying new AI tools for the next iteration of manufacturing automation. Learn how NVIDIA Omniverse™, NVIDIA Metropolis, and the NVIDIA Isaac™ robotics platform enable AI training, testing, and advanced applications in manufacturing facilities.

Erin Rapacki, NVIDIA, Product Marketing Manager, Robotics

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Deploying AI to Retrofit Manual

Deploying AI to Retrofit Manual

This talk will examine case studies from the automotive industry involving the deployment of artificial intelligence (AI) for vision-guided robotic applications. 

All these projects were retrofits of manual processes performed by operators, robotic processes without vision or cells using conventional vision technologies. We will be joined for the talk by the project participants.

The presenters will cover the following topics:

  • The main driver of process retrofitting—quality and eliminating stops to production.
  • Process and mechanical redesign requirements to use vision systems for robotic guidance.
  • Expected and resulting performance from work cell retrofits.
  • Project teams' learnings, including new skill requirements for implementing vision-guided robotics.

Sina Afrooze, CEO & Co-Founder, Apera AI

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Using AI for Semantic Segmentation

Using AI for Semantic Segmentation

Livestock management is a growing market for 3D video, but using AI to detect and monitor animals from depth video is a particularly challenging problem given the lack of labeled data sets and pre-trained AI models.  So to do so, one needs to collect data, label the data, train the AI model, and then export the AI model to something one can integrate into OpenCV or OpenVino libraries.  Each of these steps is essential to achieving accurate segmentation, and if not given the appropriate time and energy, could spell doom for the entire project. So in this presentation, I share personal experiences with training an AI model from a livestock video and relate what worked and what didn't so you can avoid the mistakes while enjoying my successes in your projects.

Daniel Lau, Professor, University of Kentucky

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The Future of AI Vision Inspection

The Future of AI Vision Inspection

Neurocle is excited to present its Auto Deep Learning Vision software in this seminar, offering industrial experts the essential tools to optimize deep learning models for their applications. The seminar will cover:

  • Introduction to Auto Deep Learning Vision Software: Gain a comprehensive understanding of Neurocle's advanced Auto Deep Learning Vision software, designed to enhance the capabilities of industrial applications.
  • Creating Effective Deep Learning Models for Industrial Use: Explore the process of developing precise and efficient deep learning models tailored specifically for industrial applications, focusing on practical and applicable features.
  • Case Studies of Successful Implementations: Delve into real-world examples showcasing the successful integration of deep learning models into various industrial settings, highlighting the tangible benefits and practical applications.
  • This seminar is an opportunity to acquire valuable insights into optimizing your industrial processes. Join us for an informative session focused on industry-specific expertise and practical takeaways. We look forward to your participation.

Hongsuk Lee, CEO, Neurocle Inc.

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Simple Smart Cameras for AI and Industry 4.0

Simple Smart Cameras for AI and Industry 4.0

The widespread use of imaging technology requires easy-to-use, powerful, and flexible smart cameras to simplify system design and provide a low total cost of ownership (TCO). Smart cameras with integrated AI can optimize automation processes to save companies money and time, but they are currently being underutilized in many industries.

In this webinar, Nagle highlights how AI technology helps companies optimize their processes and solve tricky automation applications. Throughout the presentation, Nagle discusses the potential for smart cameras in AI applications and the benefits and challenges of freely programmable smart cameras. He provides examples of applications where smart cameras have been successful along with a look at how the program works with AI.

Michael Nagle, Machine Vision Specialist, Baumer

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Advances in AI-Powered Machine Vision Inspection

Advances in AI-Powered Machine Vision Inspection

In today's rapidly evolving industrial landscape, the convergence of artificial intelligence and machine vision has opened up a world of opportunities. From improving quality control and enhancing safety protocols to optimizing production processes and increasing efficiency, AI-powered machine vision is revolutionizing the way manufacturing and industrial production operate. Join us for this discussion with industry experts that will shed light on the latest trends, real-world use cases, and best practices that are driving these transformative technology:

Closing the Loop on Quality Using AI-Powered Vision and Analytics
Ayre Barnehama, Elementary

Your First Steps to AI Automation
Ed Goffin, Pleora Technologies

Why AI Wins the Inspection Race for High-Speed Factory Automation
Eric Hershberger, Cognex

Revolutionizing Machine Vision: Harnessing Event-Based Vision for Industrial Automation Systems
Gareth Powell, Prophesee

Smart Visual Quality Inspection with Artificial Intelligence
Rajesh Iyengar, Lincode Labs

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Machine Learning Applied

Machine Learning Applied

The goal of this speech is to provide an introduction to Amazon Mechatronics and Sustainable Packaging (part of Amazon Global Robotics) organizational structure and scope, and to provide an overview of some main AI/ML potential applications to Mechatronics Product Development process, with a main focus on the safety and compliance/standardization aspects, available norms and policies, and what’s outstanding to tackle the future technical and operational challenges in complex manufacturing and logistics environment.

Gianpiero Negri, Global Head of Central Quality Assurance and Field Compliance, Amazon Mechatronics and Sustainable Packaging

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AI/Machine Learning Applications in Robotics

AI/Machine Learning Applications in Robotics

While robotics and AI have been major buzzwords in both the automation industry, but also in a larger scope over the last few years, many factories are still learning how to actually harness the power of AI to their advantage. In this presentation, Matt will share some basic definitions of "What is AI?" and share concrete examples of where AI can be used to make manufacturing businesses more productive, resilient, and adaptive to the future.

Matthew Jones, VP of US Sales and Operations, Micropsi Industries USA, Inc.

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Introduction to Industrial AI for Automation

Introduction to Industrial AI for Automation

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

Kence Anderson, CEO & Co-Founder, Composabl, Inc.

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Simplifying Robotics: True No-Code Programming

Simplifying Robotics: True No-Code Programming

Whether you are a seasoned automation professional or new to the field, this presentation promises valuable insights into simplifying automation, making it accessible to all end users. Leave equipped with the knowledge and inspiration to harness the power of robotics, drive operational efficiency, and propel your organization forward in an increasingly automated world.

Josh Cloer, Director of Sales, Mujin

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AI in the Warehouse: What You Really Need to Know

AI in the Warehouse: What You Really Need to Know

You’ve heard about artificial intelligence (AI) and have probably seen many companies touting how their products use AI to help your warehouse. We’re going to dive deep into separating the facts from fiction when it comes to AI in the warehouse. Attend this session to learn about the impact, benefits, and considerations of implementing AI in your warehouse. 

In this presentation, we’ll discuss: 

  • Embodied AI and what it is 
  • What’s AI and what isn’t AI 
  • The benefits of AI 

Understanding these perspectives and the true reality of AI helps warehouse managers separate the fluff from the facts and learn how to use AI for good.

Gina Chung, Vice President, Corporate Development, Locus Robotics

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AI and OPC UA in Industrial Manufacturing

AI and OPC UA in Industrial Manufacturing

The session will provide an overview of current applications of AI technology in manufacturing and robotics. Starting with AI as a tool for engineering in the form of Copilots for writing software, generating specifications but also finding relevant documentation, the talk will also cover other AI applications such as AI for data analysis, AI systems as user interfaces in the factory.

It will also cover the role of standardization as a mechanism to enable AI systems to interact with factory automation systems and robotics and present the goals of the newly created AI working group in the OPC Foundation towards enabling this. An outlook to the role of AI in new forms of robotics such as humanoids will conclude the session.

Holger Kenn, Director of Business Strategy, AI, Data and Emerging Technology, Microsoft Corp.

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Leveraging AI in Manufacturing and Logistics

Leveraging AI in Manufacturing and Logistics

AI has been top of mind for every business for over a year now, but how do we bring the rapid advancement of technology to practical applications on the manufacturing floor and fulfillment center?

OnLogic is a leading provider of Edge Hardware and AI solutions. We work closely with our customers and partners to reinvent our customer’s workflows and make their operations more efficient. In this presentation, we will review several examples focusing primarily on the manufacturing and logistics industry to illustrate how AI can be utilized to drive automation to the next level.

Kevin Jones, VP of Sales, OnLogic

Michael Kleiner, VP Edge AI Solutions, OnLogic

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Designing for Tomorrow’s Cybersecurity Challenges

Designing for Tomorrow’s Cybersecurity Challenges

As IIoT and EdgeAI compute continue to reshape the industrial landscape, addressing cybersecurity concerns is imperative. This talk serves as a guide to navigating the complexities of IIoT cybersecurity, offering insights into current trends, industry responses, and the tools necessary for building secure, efficient systems.

David Bader, VP of Business Development, Eurotech

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Unlocking Manufacturing Excellence

Unlocking Manufacturing Excellence

Discover how automated analytics can be the catalyst for industrial digitalization projects, with a primary focus on reducing downtime. But that's not all – did you know that the same data can be harnessed to enhance product quality, ensure safer operations, optimize maintenance precision, and boost corporate sustainability?

Join us for an insightful session where we demystify the world of data analytics and AI. We'll explore accessible technologies that improve production and management KPIs by analyzing and predicting machine and maintainer behavior. The best part? You don't need to be a data scientist to leverage these transformative tools. Unlock the potential of data-driven insights and elevate your industrial operations to new heights!

Marc Trusio, Business Development Director, Americas for Senseye Predictive Maintenance, Siemens

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Transforming Manufacturing with AI

Transforming Manufacturing with AI

In this session, we will dive into the transformative world of Artificial Intelligence (AI) in manufacturing. As the manufacturing landscape rapidly evolves, embracing AI-driven solutions is no longer a choice but a necessity for staying competitive. Our expert will guide you through the process of developing, implementing, and scaling AI solutions tailored to manufacturing environments. We'll explore real-world case studies, demonstrating how AI enhances quality control, predictive maintenance, and overall operational efficiency. Learn about the crucial considerations for data acquisition, model training, and scalability while ensuring a robust deployment strategy. Discover how AI can drive innovation, reduce costs, and unlock new possibilities for your manufacturing business. Join us to unlock the full potential of AI in manufacturing, and position your organization for success in the Industry 4.0 era.

German Suvorov, AI Solutions Architect - Business Development, AI Ecosystem, Siemens

Steffen Klawitter, Digital Enterprise Lead Architect, Siemens

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Simulation and Virtual Commissioning

Simulation and Virtual Commissioning

Machine and line builders face many challenges today to deliver and integrate discrete production systems. How can they speed up the commissioning of machines? How can unplanned machine behavior be avoided? How can mechanical defects or software errors be detected at an early stage? What can be done to tackle the shortage of skilled workers & the decreasing willingness to travel? In this session learn how you can shorten machine commissioning time at the end customer’s site, secure project timeline due to validation of the mechanical design and processes in the virtual space, reduce stress levels at the real commissioning with already tested software, and reduce the risk of real damage with collision detection on the digital twin. With Siemens's comprehensive digital twin solutions, we can simulate and virtually commission all relevant parts of a machine, such as mechanical components, electrical device behavior, and automation software.

Colm Gavin, Portfolio Development Manager, Siemens

Suresh Rama, Portfolio Development Executive, Siemens

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Modern Backup Strategies to Minimize Risk

Modern Backup Strategies to Minimize Risk

In the contemporary industrial landscape, safeguarding control data through robust backup strategies is of paramount importance. While IT departments have long prioritized business data backups, the intricate manufacturing environment is often heavily reliant on workers physically connecting PCs to PLCs with backups not happening on a regular and consistent basis. Even with these manual processes to backup machines and devices, in addition to diverse automation programs, there is no way to know if code was changed, when, why, or by whom, leading to vulnerabilities in the system.

This presentation will explore the risks and challenges of current backup practices, and provide modern solutions that provide automated backups and additional benefits.

Adam Gluck, Founder & CEO, Copia Automation

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Getting Started with Condition Monitoring

Getting Started with Condition Monitoring

Condition monitoring and predictive maintenance are “hot topics” in factory automation. However many facilities still use preventative maintenance or “run to fail” approaches. Moving to a condition monitoring or predictive maintenance approach can be intimidating, concerns include:

  • Perception that it’s expensive
  • Disruption to existing controls architecture and machinery
  • Technology seems challenging
  • Don’t know where to start

I’ll give an overview of these key topics, and will then provide some advice and processes on how to get started with condition monitoring and predictive maintenance.

Tom Knauer, Global Strategy Manager - Robotics & Automation, Balluff GmbH

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Event Driven IT/OT Convergence

Event Driven IT/OT Convergence

The focal point of this presentation is to elucidate the approach of a production model for IT/OT convergence. This model not only addresses the ongoing issues arising from disparate approaches but also strives to pave the way for smoother alignment, reduced conflicts, and enhanced collaboration among stakeholders in pursuit of effective and harmonized manufacturing management.

Farukh Naqvi, Manufacturing Business Partner, Boston Beer Company

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Eliminating Drift and Hallucinations

Eliminating Drift and Hallucinations

There is no shortage of articles and use cases on Generative AI but how do you eliminate the hallucinations and drift of your generative AI in your LLMs?

Christopher Hoemeke, Global Account Manager, Rockwell Automation, Inc.

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Edge Computing and Manufacturing

Edge Computing and Manufacturing

Step into the dynamic world of Industry 4.0 with Evaldo de Oliveira from FairCom as he unveils the game-changing potential of Edge Computing in manufacturing. Join us as we delve into the realm of Industrial IoT, exploring real-world use cases and actionable examples that redefine efficiency, productivity, and innovation on the factory floor. From predictive maintenance to optimized production lines, discover how Edge Computing revolutionizes manufacturing processes, propelling businesses into the future.

Evaldo de Oliveira, VP of Business Development, FairCom

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All-In-One: Accelerating Robotic Success

All-In-One: Accelerating Robotic Success

Increasing the success of the deployment of a specific robot can be found in methods to increase the utility of the robot and to increase the adoption rate of the robot across processes within the same facility. Thus, maximizing returns on capital by maximizing the network effect of the asset. In this Automate Session, Omron Automation will introduce how to increase the utility and adoption of OEM’s or SI’s robotics by integrating robotics into an all-in-one automation control platform. By focusing on integration into native ecosystems, teams can accelerate the success of newer robotics technology. Specifically, the session will introduce how this mindset decreases commissioning time through 3D simulation and time-synchronized data playback by developing programs in an integrated development environment, increases machine performance with a centralized control of secure communication on globally open industrial protocols, and ensures the relevancy of non-intrusive data collection methods to quickly increase OEE as well as to build the foundation for future artificial intelligence algorithms.

Thomas Kuckhoff, Product Manager – Controllers and Industrial PC’s, Omron Automation America

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Transform Your Workforce With AR

Transform Your Workforce With AR

The manufacturing industry is facing several challenges, including labor shortages, increasing competition, and changing customer demands. Augmented reality (AR) is helping manufacturers overcome these challenges by bridging the skills gap, equipping workers with the tools they need to excel in complex tasks, and making manufacturing jobs safer and more efficient. By strategically leveraging AR, manufacturers can optimize production processes and gain a competitive edge in the market.

In this session, LightGuide CEO Paul Ryznar will discuss how augmented reality (AR) is transforming the manufacturing industry. These technologies can be used to improve training, safety, ergonomics, productivity, and quality control. AR gives manufacturers a way to empower their workforce and transform them into a competitive advantage.

Case studies from the Automotive, Aerospace, and Defense industries will demonstrate the benefits of AR for manufacturing and workforce transformation.

Paul Ryznar, Founder & CEO, LightGuide

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The Generative AI in Automation

The Generative AI in Automation

In this talk, we will deep dive into how Reshape Automation leverages GenAI. It is the perfect enabler to eliminate the barriers of entry to automation. It is your mechanical designer as a service. Your automation guru in a click. Your support technician is available 24/7.

The attendees will get a first glimpse of Autocanvas, a revolutionary AI-driven end-to-end platform to guide manufacturers in their automation journey.

Juan Luis Aparicio Ojea, CEO, Reshape Automation

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Enabling Smart Factories

Enabling Smart Factories

In this session, we’ll explore the journey Hitachi, Ericsson, and AWS went through to demonstrate how defects can be detected earlier in the assembly process for greater quality assurance and the potential for significant cost savings by reducing waste.

Alan Minney, Global Lead Strategic Partnerships, Enterprise & Emerging Business, Ericsson

Sudhanshu Gaur, Vice President of R&D, Hitachi America and Chief Architect, Hitachi Astemo Americas

Vish Kolur, Senior Director, Manufacturing Solutions, Ericsson

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Designing Autonomous AI Agents

Designing Autonomous AI Agents

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. 

Kence Anderson, CEO & Co-Founder, Composabl, Inc.

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Building an AI Operating Model

Building an AI Operating Model

This session will cover a robust AI Operating Model that provides a value framework to implement both Macro and Micro initiatives, and eventually bring everything together to unlock unprecedented accuracy, efficiency, profitability, performance, and safety.

Ashutosh Prasad, Founder & CEO, KoiReader Technologies, Inc.

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