File size: 1,002 Bytes
e4859f5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 | ---
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.
---
## Model Description
The model takes structured contextual input such as:
- environment type
- detected object
- energy level
- task priority
and predicts the most appropriate action.
---
## Intended Use
- Robotics simulation
- Warehouse automation agents
- Autonomous decision testing
- AI research experiments
---
## Training Data
Trained on structured synthetic datasets
representing humanoid context-action mappings.
---
## Evaluation
The model is evaluated using accuracy
on held-out structured decision scenarios.
---
## License
MIT |