| # HAN Humanoid Object Interaction Model |
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| This model is designed for humanoid robot interaction training. |
| It classifies object interaction behaviors such as grabbing, |
| pushing, pulling, carrying, and releasing objects. |
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| ## Model Type |
| Neural Network - Multi-class Classification |
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|
| ## Training Objective |
| To help humanoid robots recognize and categorize |
| basic object interaction behaviors. |
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|
| ## Input |
| Text-based action descriptions or structured motion signals |
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| ## Output |
| Interaction category label |
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| ## Categories |
| - grabbing |
| - pushing |
| - pulling |
| - carrying |
| - releasing |
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|
| ## Use Case |
| Robotics AI training |
| Simulation learning |
| Human-object interaction research |
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| ## License |
| MIT |
