CoppeliaSim
Coppelia Robotics
RLBench uses CoppeliaSim through PyRep. Follow the simulator version specified by the benchmark's installation guide.
Integration documentationRLBench is a large-scale robot learning benchmark and environment for vision-guided manipulation research.
Documentation in progress
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A demo shows what may be possible. These points help judge whether the product fits day-to-day use.
RLBench is developed by Stephen James and colleagues and was published in IEEE Robotics and Automation Letters in 2020. It is a large-scale benchmark and learning environment built around CoppeliaSim v4.1.0 and PyRep, aimed at vision-guided manipulation research including reinforcement learning, imitation learning, multi-task learning, geometric computer vision, and few-shot learning. It provides task sets for few-shot and multi-task learning, Gym compatibility, demonstration collection, sim-to-real visual randomization, and swappable robot arms.
The purchase price is only one part of an automation project.