| --- |
| language: en |
| license: mit |
| tags: [humanoid, drift-correction, predictive-ai, stability, decentralized-ai] |
| --- |
| |
| # 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 |
