RLBench
Robot Learning Benchmark
RLBench: The Robot Learning Benchmark & Learning Environment
RLBench: The Robot Learning Benchmark & Learning Environment
Stephen James Zicong Ma David Rovick Arrojo Andrew J. Davison
Stephen James Zicong Ma David Rovick Arrojo Andrew J. Davison
Dyson Robotics Lab, Imperial College London
IEEE Robotics and Automation Letters 2020
RLBench is an ambitious large-scale benchmark and learning environment featuring 100 unique, hand-design tasks, tailored to facilitate research in a number of vision-guided manipulation research areas, including: reinforcement learning, imitation learning, multi-task learning, geometric computer vision, and in particular, few-shot learning.
ICRA 2020 Presentation
ICRA 2020 Presentation
Task Creation Tutorials
Task Creation Tutorials