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neo-humanoid-dynamics-v2
Caplin43/neo-humanoid-dynamics-v2
neo-humanoid-dynamics-v2 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.
Neo Humanoid Dynamics v2 is a Hybrid CNN + Transformer model designed for humanoid robot motion control and action recognition.
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At a glance
- Access
- Public
- Created
- Feb 25, 2026
- Updated
- Feb 25, 2026
- SHA
- a0db9362
Model card
From the Hugging Face model README
Neo Humanoid Dynamics v2
Overview
Neo Humanoid Dynamics v2 is a Hybrid CNN + Transformer model designed for humanoid robot motion control and action recognition.
Model Details
- Architecture: CNN + Transformer Encoder
- Framework: PyTorch
- Tasks: Action Classification & Motion Forecasting
- Number of Classes: 8
Input Format
- Sequence Length: 80 frames
- Joints: 24
- Features per Joint: 6 (x, y, z, vx, vy, vz)
Output
- Action Label
- Confidence Score
- Future Motion Frames
Supported Actions
- walking
- running
- jumping
- sitting
- standing
- grabbing_object
- pushing
- turning
Hyperparameters
- Learning Rate: 0.0002
- Batch Size: 64
- Epochs: 60
- Optimizer: AdamW
- Scheduler: Cosine Annealing
Dataset
- 15,000 motion sequences
- Balanced dataset
- Data augmentation with noise and rotation
License
Apache 2.0
- Created
- Feb 25, 2026
- Updated
- Feb 25, 2026