Long papers
Up to 8 pages using the CoRL 2026 template
Machine Learning/CORE Unranked
Scaling H2R 2026
Scaling Human2Robot Workshop @ CoRL 2026
Scaling H2R 2026 is a half-day workshop co-located with CoRL 2026 in Austin, Texas, focused on understanding how robot capability scales with the volume and diversity of human data. It brings together researchers to explore empirical limits and design principles for leveraging abundant human data in robot learning, particularly addressing gaps in embodiment, data diversity, and scaling laws.
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Short papers
Up to 4 pages using the CoRL 2026 template
Research areas in scope
01
Core Research Areas
Data enginesScaling lawsWorld modelsHardware co-design
Policies worth checking twice
- Submissions must be a single PDF using the CoRL 2026 template
- Submissions must be made through OpenReview
- References and supplementary material do not count toward page limits
- Non-archival: concurrent submissions are welcome
- Papers already accepted at the CoRL 2026 main conference are not eligible
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026