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neo-humanoid-dynamics-v2 – AI Model by Caplin43 | AlphaNeural AI

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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