Webinars
AI-Powered Robots Turning Complexity into Autonomous Production
Originally Recorded March 31, 2026 | 12-1 PM ET
ABOUT THIS WEBINAR
Learn how Physical AI is transforming robotic machine tending by increasing flexibility, reducing integration complexity, and improving operational performance on the factory floor. This session explores how manufacturers can move beyond rigid, point-to-point programming to deploy robots that handle variability, changeovers, and real-world production demands more effectively.
Trener Robotics will present Acteris, an AI-native, robot-agnostic application software platform designed to streamline machine tending workflows. By replacing manual coding with pre-trained AI skills and agentic control, Acteris enables faster deployment for integrators and simplifies day-to-day robot operation for manufacturers.
Attendees will see how Physical AI and Acteris streamline machine tending automation by:
- Accelerating robot deployment and reducing integration complexity for solution providers
- Simplifying daily robot operation through intuitive AI agents, simulation, and real-time monitoring for operators
- Delivering measurable gains in throughput, reliability, and usability in high-variability machine tending environments
- Real-world examples will demonstrate how manufacturers achieve higher uptime, faster changeovers, and reduced dependence on expert programmers in machine tending applications.
Exclusive Sponsor
Andrew Benton, Application Engineer, Trener Robotics
Andrew Benton joined Trener Robotics in January 2026 to translate customer objectives into reliable automation by leading on-site deployments. As a primary liaison between sales, engineering, and the factory floor, he is responsible for de-risking technical constraints and delivering the playbooks required to scale production across diverse manufacturing environments. Andrew is driven to help manufacturers unlock productivity gains by reducing the complexity of robot programming and integration. Previously, as a Solutions Engineer at Mecademic, he served as a technical subject matter expert designing demos and custom solutions for critical automation projects. Prior to that, he was a Robotics Software Engineer at Siemens, where he built precision automation systems and managed key technical partnerships. Andrew holds an M.S. in Electrical and Computer Engineering from Purdue University and a B.S. in Computer Engineering from the University of Denver.
John Marioni, Director of Sales, US, Trener Robotics
John Marioni is the Director of Sales, US for Trener Robotics. He was motivated to join by the company’s disruptive technology, incredible team, and exciting upside potential. John brings over three decades of sales and leadership experience in the industrial automation sector. He spent seven years at Universal Robots, where he managed a 10-person team, drove significant territory growth, and focused on OEM sales. Previously, during a 12-year tenure at Kuka Robotics, John held global account responsibility for key customers like Apple and Google and was recognized with the President’s Club Sales Award four times. His early career included 13 years in machine vision sales and channel management. John earned his MBA from Chaminade University as Valedictorian and Commencement Speaker.
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