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PRODID:-//ddaysoftware.com//NONSGML DDay.iCal 1.0//EN
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CATEGORIES:Webinar
DESCRIPTION:<p>Traditional robotic deployment methods are hitting a ceiling
  as manufacturing shifts toward high-mix production. For system integrator
 s\, scaling these systems often requires exhaustive custom coding and rigi
 d environments that struggle with variability.</p>\n\n<p>This session pres
 ented by <a href="https://trener.ai/" rel="noopener noreferrer" target="_b
 lank">Trener</a> examines the transition to AI-native application platform
 s and how a hardware-agnostic approach can bridge the gap between complex 
 artificial intelligence and industrial reliability. Participants will expl
 ore how a standardized integration suite allows for the deployment of adap
 tive applications\, such as machine tending\, across mixed fleets includin
 g Fanuc\, ABB\, and Universal Robots. By moving away from vendor-specific 
 silos\, integrators can shorten commissioning timelines and reduce the ris
 k of custom code debt.</p>\n\n<p>Agenda</p>\n\n<ul>\n	<li>Analyzing why st
 atic programming fails in high-variability environments.</li>\n	<li>Mainta
 ining a single logic layer across mixed fleets to simplify staff training.
 </li>\n	<li>A technical look at using pretrained AI for tasks like machine
  tending.</li>\n	<li>Leveraging simulation and real-time monitoring to de-
 risk deployments.</li>\n	<li>Methods for reducing engineering hours per ce
 ll and improving resilience.</li>\n	<li>Transitioning from a labor-intensi
 ve model to a scalable automation business.</li>\n	<li>A deep-dive video d
 emonstration of the software in a live robot cell\, featuring a side-by-si
 de "before vs. after" performance analysis\, technical specifications\, an
 d a first-hand testimonial from the system integrator on overcoming deploy
 ment hurdles.</li>\n</ul>\n
DTEND;TZID=Eastern Standard Time:20260428T150000
DTSTAMP:20260429T190315Z
DTSTART;TZID=Eastern Standard Time:20260428T140000
SEQUENCE:0
SUMMARY:Scaling Robot Integration Through AI-Native Frameworks
UID:fccdea81-0440-49b3-ad48-ddb92dd9ea41
URL:https://www.gardnerweb.com/events/details/fccdea81-0440-49b3-ad48-ddb92
 dd9ea41
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