Developing a visual navigation system for autonomous navigation of a Triceratops robot in indoor environments.
This project demonstrates how robotic arms can learn using Visual Language Action (VLA) models like SmolVLA & GR00T N1.5 and imitation learning like Action Chunking Transformer(ACT) .
This project demonstrates how robotic arms can learn using Visual Language Action (VLA) models and imitation learning.
The system uses ROS2 for robot control and PyTorch for model inference.