RLBench-OG is derived from the RLBench benchmark and is designed to evaluate the robustness of models under occlusion as well as their generalization capability under various environmental perturbations. The dataset selects ten tasks from the original RLBench task list, covering both simple scenarios and more complex long-horizon tasks. The benchmark consists of two main components: an Occlusion Suite and a Generalization Suite.… See the full description on the dataset page: https://huggingface.co/datasets/baiyu858/RLBench-OG.
