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Humanoid Proprioception Dynamics Dataset
A structured dataset containing simulated proprioceptive sensor streams for humanoid joint coordination and balance stabilization research.
Overview
This dataset focuses on internal body-state sensing for humanoid systems. It supports research in:
- Joint angle prediction
- Torque estimation
- Balance correction modeling
- Multi-sensor fusion learning
Data Structure
Each entry contains:
- timestamp
- joint_positions (vector)
- joint_velocities (vector)
- joint_torque
- imu_orientation
- balance_state_label
Use Cases
- Motor control AI training
- Balance stabilization models
- Reinforcement learning for posture control
License
MIT
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