Caplin43/HAN-Humanoid-Object-Interaction-Model

HAN Humanoid Object Interaction Model

This model is designed for humanoid robot interaction training. It classifies object interaction behaviors such as grabbing, pushing, pulling, carrying, and releasing objects.

Model Type

Neural Network - Multi-class Classification

Training Objective

To help humanoid robots recognize and categorize basic object interaction behaviors.

Input

Text-based action descriptions or structured motion signals

Output

Interaction category label

Categories

• —grabbing
• —pushing
• —pulling
• —carrying
• —releasing

Use Case

Robotics AI training Simulation learning Human-object interaction research

License

MIT