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HAN-Humanoid-Motion-Control-Model
Caplin43/HAN-Humanoid-Motion-Control-Model
HAN-Humanoid-Motion-Control-Model is a machine learning model from Caplin43. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This model is designed for humanoid robot motion control and task execution. It focuses on balance, walking patterns, and basic object interaction.
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At a glance
- Access
- Public
- Created
- Mar 2, 2026
- Updated
- Mar 2, 2026
- SHA
- 37bc16ba
Model card
From the Hugging Face model README
HAN Humanoid Motion Control Model
Overview
This model is designed for humanoid robot motion control and task execution. It focuses on balance, walking patterns, and basic object interaction.
Model Type
Transformer-based sequence model
Training Data
- Synthetic humanoid motion dataset
- Reinforcement learning simulations
- Human motion capture samples
Input
- Joint angles
- Sensor signals (IMU, force sensors)
- Task command tokens
Output
- Motor control signals
- Motion trajectory predictions
Framework
PyTorch
Use Case
- Humanoid robot walking
- Object pickup simulation
- Balance recovery tasks
License
MIT
- Created
- Mar 2, 2026
- Updated
- Mar 2, 2026