RLBench
by Dyson Robotics Lab / Imperial College London · open-source · Last verified 2026-03-17
RLBench is a large-scale robot learning benchmark and dataset built on the CoppeliaSim simulator, providing 100 unique manipulation tasks with demonstrations, observations, and reward functions. It offers RGB, depth, and point-cloud observations for a Franka Panda arm across diverse household tasks, widely used for evaluating imitation learning, reinforcement learning, and multi-task robot policies.
https://sites.google.com/view/rlbench ↗B
B—Above Average
Adoption: BQuality: AFreshness: B+Citations: AEngagement: F
Specifications
- License
- MIT
- Pricing
- open-source
- Capabilities
- manipulation-benchmarking, imitation-learning, multi-task-robot-learning
- Integrations
- Use Cases
- robot-policy-evaluation, imitation-learning-research, multi-task-learning
- API Available
- No
- Tags
- robotics, manipulation, benchmark, simulation, imitation-learning
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
64.2Adoption
68
Quality
85
Freshness
70
Citations
80
Engagement
0
Put AI to work for your business
Deploy this dataset alongside autonomous AaaS agents that handle tasks end-to-end — no babysitting required.