
Stanford Robotics Seminar ENGR319 | Spring 2026 | Robot Learning from Human Experience
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.
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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