CFP summary
CoRL 2026 is the Conference on Robot Learning, an annual conference at the intersection of robotics and machine learning. The conference is dedicated to methods that enable robots to learn from data, interaction, simulation, and structured priors, as well as to the deployment of learned behavior in real robotic systems. The 2026 edition in Austin continues CoRL’s role as a central venue for modern research on learning-enabled perception, control, planning, and embodied intelligence.
Topics
Robot learning; reinforcement learning for robotics; imitation and demonstration learning; perception for embodied systems; manipulation and locomotion; planning and control with learned components; sim-to-real transfer; foundation models and large models for robotics; multi-robot learning; safe, robust and deployable learning for real robots.