Dongkkka2026
Task_0001_pickplacetip_MCAP
A robotic manipulation dataset for pick-and-place tasks with tip objects, created using Cyclo Intelligence framework by ROBOTIS.
Downloads27
Episodes30
Hours0.1038
Why This Matters for Physical AI
This dataset contributes to physical AI research by providing structured robotic manipulation data for pick-and-place tasks, which are fundamental skills for embodied AI agents.
Technical Profile
- Robot Embodiments
- omy_f3m
- Action Space
- 7-DoF: joint1, joint2, joint3, joint4, joint5, joint6, rh_r1_joint
- Task Types
- pick_and_place
- Episodes
- 30
- Total Hours
- 0.1038
- Data Format
- MCAP
Access
Need custom physical AI data?
Claru builds purpose-built datasets for any environment applications with dense human annotations and quality assurance.
Request a Sample Pack