Machine Learning/CORE Unranked

CoRL 2026

CoRL 2026 Workshop on Compositional Generalization for Real-World Robot Learning

Nov 12 2026Austin, Texas, United StatesOfficial workshop site Site reachable

The CoRL 2026 workshop on Compositional Generalization for Real-World Robot Learning explores how modular and compositional approaches can enhance robot learning by combining scaled systems with structured, reusable components. It focuses on challenges in modality integration, module interfacing, agentic systems, and benchmarking compositionality, targeting researchers in robotics, machine learning, and embodied AI.

Official CFP Back to deadlines Verified September 9, 2026

Key deadlines

Verified September 9, 2026

Full paper

October 1, 2026

AoE

Workshop timeline

Submission and decisions

Full paperKey deadline

October 1, 2026 · AoE

Paper fit

Contribution paths

A strong submission should clearly identify its contribution and evaluate it appropriately.

Short papers and posters

Reviewed for technical correctness, reproducibility, and actionable artifacts (e.g., skill libraries, benchmarks, datasets, metrics, or well-documented system case studies); welcomes works-in-progress and negative/ablation results.

Research areas in scope

Core Challenges & Topics

Modality compositionInterfacing modulesThe role of agents in roboticsEvaluation and benchmarking for compositionality

Policies worth checking twice

Submissions are non-archival.
Work already published or accepted to the CoRL 2026 main conference will not be accepted.
Authors are encouraged to share code and evaluation details.

Official sources

Compiled from the official call for papers. The organizers’ pages remain authoritative.

Official workshop site

Last verified September 9, 2026