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

Stanford Online · Advanced ·📄 Research Papers Explained ·3w ago
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.
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

The ABCs of reading medical research and review papers these days
Learn to critically evaluate medical research papers by accepting nothing at face value, believing no one blindly, and checking everything
Medium · LLM
#1 DevLog Meta-research: I Got Tired of Tab Chaos While Reading Research Papers.
Learn to manage research paper tabs efficiently and apply meta-research techniques to improve productivity
Dev.to AI
How to Set Up a Karpathy-Style Wiki for Your Research Field
Learn to set up a Karpathy-style wiki for your research field to organize and share knowledge effectively
Medium · AI
The Non-Optimality of Scientific Knowledge: Path Dependence, Lock-In, and The Local Minimum Trap
Scientific knowledge may be stuck in a local minimum, hindering optimal progress, and understanding this concept is crucial for advancing research
ArXiv cs.AI
Up next
Microsoft Research Forum | Season 2, Episode 4
Microsoft Research
Watch →