From November 9, 2026 to November 12, 2026
CoRL 2026 – Conference on Robot Learning
Event Title: Conference on Robot Learning 2026 (CoRL 2026)
Organizer: Conference on Robot Learning
Dates & Venue
Overview
The Conference on Robot Learning (CoRL) is a leading international conference dedicated to the intersection of robotics and machine learning. CoRL brings together researchers from robotics, artificial intelligence, and computer science to present advances in algorithms that enable robots to learn from data, experience, and interaction.
Unlike traditional robotics conferences that emphasize hardware systems, CoRL focuses primarily on learning-based methods. Topics typically include reinforcement learning, imitation learning, perception-driven control, sim-to-real transfer, and large-scale data-driven robotics systems.
The conference serves as a key venue for advancing embodied intelligence, where learning algorithms are tightly integrated with physical robotic platforms.
Program Elements
Peer-Reviewed Technical Papers
Presentations of new research in robot learning, control, and perception.
Workshops and Tutorials
Sessions exploring emerging topics such as foundation models for robotics, multi-robot learning, and scalable training pipelines.
Poster Sessions
Interactive research discussions between authors and attendees.
Industry and Research Networking
Opportunities for collaboration between academic labs, robotics startups, and AI research organizations.
Key Topics
Reinforcement learning for robotic control
Imitation learning and human demonstration
Sim-to-real transfer and simulation platforms
Perception-driven manipulation and navigation
Multi-robot learning and coordination
Large-scale datasets and foundation models for robotics
Who Should Attend
Robotics and AI researchers
Machine learning engineers working on embodied systems
Robotics startups developing learning-based platforms
Graduate students and research labs
Technology companies investing in autonomous systems
Industry Relevance
As robotics increasingly incorporates deep learning and data-driven methods, CoRL has become a critical forum for advancing learning-based autonomy. The conference frequently showcases early research that later shapes commercial robotics applications in logistics, manufacturing, and service automation.
For companies developing intelligent robotic systems, CoRL provides insight into emerging algorithms, research benchmarks, and next-generation AI architectures for robotics.
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