RLBench

RLBench: The Robot Learning Benchmark & Learning Environment

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.

Paper: https://arxiv.org/abs/1909.12271

Code: https://github.com/stepjam/RLBench

ICRA 2020 Presentation

Task Creation Tutorials