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han-humanoid-motion-smoothness-predictor-v1
ariefansclub/han-humanoid-motion-smoothness-predictor-v1
han-humanoid-motion-smoothness-predictor-v1 is a tabular regression model from ariefansclub. Use it for the tabular regression task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Predict motion smoothness score based on joint and trajectory metrics.
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Public
Updated Feb 26, 2026
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At a glance
- Task
- Tabular Regression
- License
- mit
- Access
- Public
- Created
- Feb 26, 2026
- Updated
- Feb 26, 2026
- SHA
- 97c420fb
Model card
From the Hugging Face model README
Humanoid Motion Smoothness Predictor (HMSP)
Objective
Predict motion smoothness score based on joint and trajectory metrics.
Problem Type
Supervised Tabular Regression
Input Features
- joint_velocity_variance
- joint_acceleration_variance
- trajectory_deviation_cm
- step_time_variation
Output
- predicted_motion_smoothness_score
Model Architecture
- Feature normalization layer
- Two dense hidden layers (ReLU activation)
- Linear regression output layer
Training Configuration
- Loss: Mean Squared Error (MSE)
- Optimizer: Adam
- Early stopping enabled
- Batch size: 32
Evaluation Metrics
- MAE
- RMSE
- R² Score
Deployment Scenario
- Real-time motion quality monitoring
- Adaptive control refinement
- Locomotion performance optimization
Limitations
- Requires structured motion metrics
- Not intended for raw sensor time-series input
License
MIT
- Task
- Tabular Regression
- License
- mit
- Languages
- en
- Created
- Feb 26, 2026
- Updated
- Feb 26, 2026