Humanoid Predictive Drift Correction Model
This model predicts behavioral drift
before critical deviation occurs
and applies corrective adjustments.
Objective
To maintain long-term operational stability
in autonomous humanoid agents.
Architecture
- Baseline Behavior Encoder
- Drift Trend Forecaster
- Anomaly Escalation Predictor
- Autonomous Recalibration Engine
- Confidence Validation Layer
Capabilities
- Early drift forecasting
- Adaptive recalibration
- Anomaly progression modeling
- Stability reinforcement
- Confidence-based correction gating
Operational Mode
- Continuous baseline comparison
- Predictive deviation analysis
- Autonomous correction trigger
Part of
Humanoid Network (HAN)
License
MIT
