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HAN Humanoid Motion Lite v1
This model is designed for humanoid motion prediction and basic gesture sequencing.
Overview
A lightweight transformer-based model optimized for efficient inference in humanoid robotics training environments.
Use Cases
- Arm movement prediction
- Walking sequence modeling
- Basic gesture classification
Technical Details
Framework: PyTorch Architecture: Transformer Encoder Version: 1.0 License: MIT
Notes
This is a research prototype model prepared for humanoid training simulations.
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