Apera AI will walk attendees through the practical realities of deploying automated bin picking on the plant floor. From workcell design and part training to achieving production grade reliability on complex, shiny, or oily automotive parts. Using real-world case studies, attendees will learn how AI powered vision guidance eliminates common failure points and dramatically reduces deployment time. Whether you’re evaluating your first bin picking application or looking to improve an underperforming cell, you’ll leave with a clear framework for getting it right.
Transforming Manufacturing Reliability Inspections with Mobile Robots
Many manufacturing facilities face significant challenges that hinder productivity, efficiency, and profitability. Reactive maintenance, aging equipment, labor shortages, and inefficient processes drive up costs, disrupt operations, and impact product quality. Boston Dynamic’s Spot works alongside your team to address these key challenges. Discover how Spot automates routine inspections to enable predictive maintenance, reduces downtime to maximize uptime, and delivers actionable insights to enhance operational efficiency, boost production quality, and achieve profitability goals.
In this session, we’ll discuss:
Benefits of dynamic sensing for smarter operations
Improvements mobile robots offer for safety, efficiency, and predictability
Real-world examples of how companies are deploying Spot
Types of inspections Spot automates
The ROI case for Spot
Rockwell Automation’s perspective on Production Logistics integrates Autonomous Material Movement, Operations Management and Orchestration, and Simulation & Emulation into a unified approach. This session will show how these technologies work together to improve and optimize facility material flow.
Automating the moving line: a global OEM playbook for real-time 3D vision
Inbolt gives industrial robots intelligence, enabling them to see the real world and adapt to it, in real time. We’ll break down deployments running today at Tier 1 automotive OEMs where real-time 3D vision replaced fixtures and retuning on moving assembly lines, including a tightening station holding 0.3 mm accuracy at 80 ms latency. We’ll then demonstrate how teams cut deployment from months to days by training vision on CAD in under 5 minutes, bridging the digital twin and physical execution with real-time servo control so robots continuously adapt to reality instead of executing against an outdated plan.
Best Practices for Preventative Maintenance – Bridging Legacy Systems & Preparing New Machines
Predictive maintenance is becoming essential to the smart factory. Predictive maintenance enables users to more accurately anticipate when machine maintenance will be needed based on real-time data from the machines themselves. The ability to accurately track machine performance and anticipate failures before they occur is helping manufacturers improve productivity and reduce wasted time and costs. Getting on board now is critical because the gap between data-driven operations and traditional processes is widening rapidly. Early adopters gain a competitive edge through higher uptime, faster decision-making, and greater agility, while those who delay risk falling behind in both productivity and profitability. In a manufacturing landscape increasingly defined by automation and AI, leveraging data isn’t optional—it’s essential for staying relevant.
As operations move faster and automation scales, many manufacturers learn the hard way that they’ve lost control. Changeovers become harder to manage, abnormal workflows create bottlenecks, and adapting operations often requires hiring specialized labor to keep systems running. It’s like trying to drive or order food in a foreign country where you don’t speak the language. You can get by, but everything is slower, more rigid, and dependent on someone else to interpret what’s happening around you. In this session, explore the hidden operational costs of modern automation and how unified platforms help restore visibility, flexibility, and control across complex operations.
Towards Industry 5.0 – the Human-Centric Revolution
Industry 5.0 marks a transformative shift in the way we envision the future of production, innovation, and human–technology collaboration. Moving beyond the automation-driven focus of Industry 4.0, Industry 5.0 places human creativity, ethics, and sustainability at the heart of industrial progress. It is not merely about smarter machines—it is about smarter, more meaningful integration between people and advanced technologies such as AI, robotics, and IoT, to create value that is economically viable, socially responsible, and environmentally sustainable. Attendees will gain insights into:
Core principles of Industry 5.0 and how they differ from Industry 4.0
Strategic opportunities for businesses to connect frontline workers with advanced automation
Technology imperatives driving the next industrial revolution, including advances in AI across the value chain
Practical roadmaps for systematic implementation, from proof of value to full-scale transformation
