Humanoid Intervention Risk Classifier (HIRC)
Objective
Classify the probability that human intervention will be required during an interaction event.
Model Type
Binary Classification Model
Input Features
- environmental_shift_index
- command_ambiguity_score
- actuator_micro_error
- stability_index_before
Output
- intervention_probability
- intervention_risk_label (true/false)
Architecture
- Feature embedding layer
- Logistic classification head
- Calibration layer for probability smoothing
Training Strategy
- Loss: Binary Cross Entropy
- Class imbalance handling enabled
Evaluation Metrics
- Accuracy
- F1 Score
- ROC-AUC
Deployment Role
Pre-emptive warning system within humanoid supervision module.
License
MIT