HAN Humanoid Action Classifier
This model is designed for humanoid robot training tasks.
It classifies basic human-like actions such as walking, lifting objects,
turning, sitting, and standing.
Model Type
Transformer-based classification model
Training Objective
To help humanoid robots understand and categorize
basic physical actions from structured input data.
Input
Structured sensor-like data or text-based action descriptions
Output
Action class label
Use Case
Humanoid robot behavior training
Robotics simulation environments
Human motion understanding research
License
MIT
