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quantum-humanoid-motion-v3 – AI Model by Caplin43 | AlphaNeural AI
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Quantum Humanoid Motion v3
Overview
Quantum Humanoid Motion v3 is an advanced BiLSTM + Transformer Decoder model built for humanoid robot dynamic motion understanding and prediction.
Model Details
Architecture: BiLSTM + Transformer Decoder
Framework: PyTorch
Tasks: Action Recognition & Future Motion Generation
Number of Classes: 10
Input Format
Sequence Length: 100 frames
Joints: 26
Features per Joint: 6 (x, y, z, vx, vy, vz)
Output
Action Label
Confidence Score
Predicted Future Frames
Supported Actions
walking
running
jumping
sitting
standing
climbing
grabbing_object
throwing
turning_left
turning_right
Hyperparameters
Learning Rate: 0.00015
Batch Size: 48
Epochs: 75
Optimizer: AdamW
Dropout: 0.1
Loss Function: CrossEntropy + MSE
Dataset
20,000 motion sequences
10 action classes
Augmented with rotation, noise, and time-warping
License
MIT
