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DTSTART;TZID=America/Los_Angeles:20260917T163000
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SUMMARY:Foundational Models
DESCRIPTION:LV Robotics: Foundation Models Are Changing How We Build Robots \nAbout This Event\nFor most of robotics history\, intelligent automation was built forward: Task → Program → Robot → Action.\nWhenever a robot needed to perform a new task\, engineers had to write new code\, gather fresh demonstrations\, retrain the architecture\, and perform painstaking real-world tests. Today\, that paradigm is shifting dramatically.\nA new generation of robot foundation models\, Vision-Language-Action (VLA) models\, and world models is decoupling physical intelligence from specific tasks—and even from specific hardware embodiments. \nBreakthroughs We’ll Explore\n\nGoogle DeepMind’s Gemini Robotics 2: Leveraging unified models across diverse robot embodiments and rapidly adapting to unencountered physical platforms.\nStanford’s SimToolReal: Achieving zero-shot transfer of complex\, dexterous tool manipulation directly from simulation to real-world environments.\nPhysical Intelligence’s π0.7: Demonstrating robust zero-shot cross-embodiment generalization and immediate performance on novel tasks.\nOS3: Pretraining physical intelligence across 150\,000 hours of video content spanning over 2\,000 distinct tasks.\nMoving Atoms: Building action-conditioned world models that enable robots to generate and learn from synthetic physical experience on GPUs.\nShiraz AI: Developing foundation models that translate human video demonstrations into actionable robot behaviors across embodiment gaps.\n\nFrom Forward to Reverse Inference\nWe are moving away from traditional forward inference (Job → Training → Model → Action) toward reverse inference: evaluating a model’s foundational physical capabilities to instantly infer what jobs a given robot can perform.\nThis transition unlocks powerful possibilities: \n\nSimulation becomes a primary source of experience.\nHuman video acts as scalable training data.\nSkills become highly transferable across interchangeable hardware bodies.\n\nKey Discussion Topics\n\nWhat defines a true robot foundation model vs. standard VLA?\nHow close are we to seamless\, zero-shot sim-to-real transfer?\nCan a single universal model effectively control disparate robotic hardware?\nAre we reaching the point where robots infer tasks simply by observing the world?\n\nJoin the Conversation!\nWhether you are a roboticist\, AI researcher\, hardware engineer\, or tech enthusiast\, join us for an engaging discussion on one of the most critical evolutions in modern robotics!\nRSVP now to reserve your spot and connect with the LV Robotics community.
URL:https://tech.hunter12.com/event/foundational-models/
LOCATION:Pololu Robotics and Electronics\, 920 Pilot Rd\, Las Vegas\, NV\, US
CATEGORIES:Technology
ATTACH;FMTTYPE=image/jpeg:https://tech.hunter12.com/wp-content/uploads/2026/09/63773_image_highres_535987946.jpeg
ORGANIZER;CN="Las Vegas Robotics Meetup":MAILTO:meetup-group-btutwywj-announce@messages.meetup.com
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