IDEAS-Lab-Northwestern2026cc-by-4.0
ManiGuard Grasp Annotations
A curated database of 1,547 annotated 6-DoF grasps over 221 object instances for the Franka Panda gripper, used for automated demonstration generation across six ManiGuard-Bench task families.
Downloads0
Episodes1547
Why This Matters for Physical AI
This grasp annotation database enables systematic evaluation of robotic manipulation safety and provides diverse, manually-curated grasps for training and benchmarking manipulation systems.
Technical Profile
- Robot Embodiments
- Franka Panda
- Action Space
- end_effector_pose
- Environment
- simulation
- Task Types
- graspingmanipulation
- Episodes
- 1547
- Data Format
- json
- Annotation Types
- grasp_annotationsapproach_hints
- License
- cc-by-4.0
Access
Need custom physical AI data?
Claru builds purpose-built datasets for simulation applications with dense human annotations and quality assurance.
Request a Sample Pack