HAN Humanoid Object Grasp Dataset
Overview
Dataset for training humanoid robots to detect and grasp objects.
Description
Contains object position data, hand joint states, and grasp success labels collected from simulation environments.
Data Structure
- object_x
- object_y
- object_z
- hand_joint_1
- hand_joint_2
- grip_force
- distance_to_object
- grasp_success
Task Type
Supervised Learning – Binary Classification
Use Case
- Robotic grasp training
- Pick-and-place tasks
- Manipulation learning
Size
8,000 samples (simulated)
License
Apache-2.0