| | --- |
| | 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 |
