oxe-augecc-by-4.0
utokyo_xarm_pick_and_place_train_augmented
An augmented dataset of pick-and-place trajectories from the University of Tokyo XArm platform, augmented across 9 robot embodiments including Google Robot, Jaco, Kinova3, KUKA IIWA, Franka Panda, Sawyer, UR5e, and WidowX using the OXE-AugE framework.
Downloads305
Technical Profile
- Modalities
- rgbproprioception
- Robot Embodiments
- google_robotjacokinova3kuka_iiwapandasawyerur5ewidowX
- Environment
- lab
- Task Types
- pick_and_place
- Data Format
- LeRobot
- License
- cc-by-4.0
Access
Need custom rgb data?
Claru builds purpose-built datasets for lab applications with dense human annotations and quality assurance.
Request a Sample Pack