Mexican Media Brands
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.
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.
