CoRL 2026 Call for Papers: Scaling Human Data for Robot Generalization

mangahomanga · x · 2026-08-09

CoRL 2026 announces the Scaling H2R workshop, focusing on the scaling laws and diversity of human data in robot learning.

Core Theme: As human data scales, does robot performance keep improving predictably? How does diversity drive generalization?
Key Areas: Human data engines, scaling laws, egocentric world models, and hardware co-design.
Main Challenge: Understanding how robot policy performance grows with human data volume (hours, tasks, demonstrators) and bridging the human-robot embodiment gap.

The half-day session will be held in Austin, Texas, on Nov 12, 2026. Paper submissions (8 or 4 pages) are due by Oct 7, 2026.

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