Webinar: Scaling Robot Integration Through AI-Native Frameworks by Gardner Business Media, Inc. Webinars

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About This Webinar

Traditional robotic deployment methods are hitting a ceiling as manufacturing shifts toward high-mix production. For system integrators, scaling these systems often requires exhaustive custom coding and rigid environments that struggle with variability.

This session presented by Trener examines the transition to AI-native application platforms and how a hardware-agnostic approach can bridge the gap between complex artificial intelligence and industrial reliability. Participants will explore how a standardized integration suite allows for the deployment of adaptive applications, such as machine tending, across mixed fleets including Fanuc, ABB, and Universal Robots. By moving away from vendor-specific silos, integrators can shorten commissioning timelines and reduce the risk of custom code debt.
Presented by:

trener.ai

Agenda

Analyzing why static programming fails in high-variability environments.
Maintaining a single logic layer across mixed fleets to simplify staff training.
A technical look at using pretrained AI for tasks like machine tending.
Leveraging simulation and real-time monitoring to de-risk deployments.
Methods for reducing engineering hours per cell and improving resilience.
Transitioning from a labor-intensive model to a scalable automation business.
A deep-dive video demonstration of the software in a live robot cell, featuring a side-by-side "before vs. after" performance analysis, technical specifications, and a first-hand testimonial from the system integrator on overcoming deployment hurdles.

Presenters

Jeremy Brouillard

Product Manager, Platform, Trener Robotics

Jeremy Brouillard is a platform product manager at Trener Robotics, where he bridges the gap between complex AI architecture and practical, real-world deployment. He focuses on empowering system integrators by building a seamless platform that combines simulation and predefined skills to scale robotic operations.

Brouillard was drawn to Trener to solve the challenge of reprogramming robots for high-mix manufacturing, recognizing that physical AI is uniquely positioned to lower the barrier to entry for industrial automation.

He brings more than a decade of experience across the robotic lifecycle. He previously served as a robotic software product manager at Formic, focusing on system integration and fleet monitoring, and as a robotic product manager at RoboDK, where he drove user experience for the company's programming software.

Brouillard also serves as a course lecturer in robotics and automation at Montreal’s École de technologie supérieure. He holds both a Bachelor of Science and a Master of Science in robotics and automation from the university.

John Marioni

Director of Sales US, Trener Robotics

John Marioni is the director of sales, U.S., for Trener Robotics. He joined the company citing its disruptive technology, team and growth potential.

Marioni has more than three decades of sales and leadership experience in the industrial automation sector. He previously spent seven years at Universal Robots, where he managed a 10-person team, drove territory growth and focused on OEM sales.

During a 12-year tenure at Kuka Robotics, Marioni held global account responsibility for customers including Apple and Google. He was a four-time recipient of the President’s Club Sales Award. His early career included 13 years in machine vision sales and channel management.

Marioni earned an MBA from Chaminade University, where he was valedictorian and the commencement speaker.

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