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Stanford Robotics Seminar ENGR319 | Spring 2026 | Robot Learning from Human Experience
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Stanford AA289/ENGR319 - Robotics and Autonomous Systems Seminar - Stanford Robotics Seminar ENGR319 | Spring 2026 | Robot Learning from Human Experience

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  • 100.5 hours of video
  • Certificate of completion
  • Access on mobile and TV

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For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-education April 10, 2026 This seminar covers: • How human-to-robot transfer can be understood as two coupled problems: extracting priors about physical intelligence from human experience, and grounding those priors into a robot’s embodiment • Recent results showing emergent human-to-robot transfer from large-scale human pretraining, as well as evidence that learning across diverse robot embodiments can further improve transfer • EgoVerse, an ecosystem for robot learning from embodied human data Follow along with the seminar schedule, visit: https://stanfordasl.github.io/robotics_seminar/ Danfei Xu is an Assistant Professor at the School of Interactive Computing at Georgia Tech and a Researcher at NVIDIA AI.

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