Call for Papers
Submit your work on zero-shot Physical AI, foundation models for robotics, and embodied generalization.
Topics
We welcome non-archival contributed papers on topics including. Submissions consisting solely of previously published conference papers are discouraged without substantial new discussion or insight.
- Zero-shot, few-shot, and continual adaptation for robot learning
- Vision-language-action models and generalist robot policies
- World models and generative simulators
- Cross-embodiment and cross-environment generalization
- Large-scale robot data, simulation, and data curation
- Evaluation protocols and benchmarks for zero-shot Physical AI
- Safety, uncertainty, and failure analysis in deployed robots
- Real-world deployment studies and negative results
Important Dates
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Submission Deadline:
August 26, 2026August 28, 2026 (11:59 PM AoE) — Extended! - Decisions Announced: September 29, 2026
- Workshop Day: TBD 11/12th December @ NeurIPS 2026, Sydney
Submission Details
Up to 6 pages in NeurIPS format (references do not count toward the page limit). Submit through OpenReview.
Double-blind review: All submissions will be reviewed in a double-blind process. Please anonymize your submission by removing author names, affiliations, and any identifying information.
Accepted papers will be presented during poster sessions, with exceptional submissions selected for spotlight oral presentations.
All accepted papers will be made publicly available as non-archival reports, allowing for future submissions to archival conferences or journals.
Questions
See our FAQ for common questions about submissions, or contact us at wrl2026organizers@robot-learning.ml