Scaling H2R @ CoRL 2026
LearnNetwork
Description
This workshop continues the Human-to-Robot (H2R) line of inquiry on learning robot skills from human data, but deliberately narrows the question. The central premise here is that the binding constraint has now shifted from feasibility to scale and diversity.
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Meet the speakers

Simar Kareer
Theme:Assistant Professor, Georgia Tech

Shuran Song
Theme:Assistant Professor, Stanford University

Homanga Bharadhwaj
Theme:Assistant Professor, Johns Hopkins University

Jim Fan
Theme:Research Scientist, NVIDIA
Artificial Intelligence Platform
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