Humanoid Contextual Intent Calibrator
Overview
Humanoid Contextual Intent Calibrator is a probabilistic
intent refinement module designed to improve initial
intent predictions using environmental and interaction context.
Unlike standard intent classifiers, this model performs
context-aware recalibration before task execution.
Architecture Concept
- Base intent probability input
- Context embedding layer
- Bayesian calibration module
- Confidence normalization layer
Input
- initial_intent_distribution
- environment_context_vector
- interaction_history_embedding
Output
- calibrated_intent_distribution
- recalibrated_confidence_score
Capabilities
- Context-based probability adjustment
- Interaction memory awareness
- Confidence stabilization
- Plug-and-play compatibility with external intent engines
Intended Integration
Designed to operate between perception modules
and high-level task planners in humanoid systems.
License
MIT
