Short papers
Non-archival submissions encouraging early-stage research, novel problem formulations, negative results, lessons from practical deployments, and system-building experiences; featured as interactive poster sessions.
Machine Learning/CORE Unranked
Sim2Real2Field Workshop 2026
CoRL 2026 Workshop on Sim-to-Real-to-Field
The Sim2Real2Field Workshop 2026, affiliated with CoRL 2026, focuses on the full arc of sim-to-real-to-field transfer in robot learning, emphasizing robust deployment across diverse environments and robots rather than just lab demonstrations. It brings together researchers to explore how simulation design, transfer metrics, and adaptive algorithms can enable reliable field deployment, with a strong emphasis on interactive discussion and early-stage or negative results.
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Research areas in scope
01
Driving Questions
Training environments to field deploymentLab metric to field guaranteeAdaptation algorithms for field transfer
Policies worth checking twice
- All authors must have an OpenReview profile.
- New OpenReview profiles without institutional email require up to two weeks for moderation.
- At least one author of each submitted paper must be willing to review up to 2 papers.
- Submissions are short and non-archival.
- Papers already accepted to the main CoRL 2026 conference are discouraged.
- Reviewing follows standard CoRL guidelines.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026