---
language: en
license: mit
tags:
  - humanoid
  - robotics
  - decision-making
  - classification
  - ai-agent
---

# Humanoid Context Action Predictor

Humanoid Context Action Predictor is a lightweight decision model 
designed to predict the next action of a humanoid unit based on 
environmental context and internal state signals.

This model is suitable for robotics simulation, 
autonomous agents, and distributed humanoid systems.

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## Model Description

The model takes structured contextual input such as:

- environment type
- detected object
- energy level
- task priority

and predicts the most appropriate action.

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## Intended Use

- Robotics simulation
- Warehouse automation agents
- Autonomous decision testing
- AI research experiments

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## Training Data

Trained on structured synthetic datasets 
representing humanoid context-action mappings.

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## Evaluation

The model is evaluated using accuracy 
on held-out structured decision scenarios.

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## License

MIT