dgrachev/

a2_assets

Assets for the A2 tabletop manipulation environment (PyBullet simulation).

	Contents




	
	3D Objects

simplified_objects/: 66 simplified YCB objects for training unseen_objects/: 17 unseen objects for testing

ur5e/: UR5e robot URDF and meshes workspace/: Workspace table and fixtures

Pre-defined test scenarios for benchmark evaluation:

testing_cases/grasp_testing_cases/: Grasp task test cases seen/:… See the full description on the dataset page: https://huggingface.co/datasets/dgrachev/a2_assets.