DuckieBot Follower

Overview

This project aimed to develop a DuckieBot follower capable of autonomously following a DuckieBot leader. The follower robot was equipped with a camera to detect the leader, where both Computer Vision and Deep Learning techniques were used to process the images and extract the necessary information to follow the leader.

Features

• DuckieBot Follower: The robot is capable of autonomously following a DuckieBot leader.
• Camera: The robot is equipped with a camera to detect the leader.
• Computer Vision: Computer Vision techniques are used to process the images and extract the necessary information.
• Deep Learning: Deep Learning techniques are used to improve the detection and tracking of the leader.

Technologies

• Programming Languages: Python
• Libraries: OpenCV, PyTorch, Duckietown

Demonstration

DuckieBot Follower Demonstration

Links

• DuckieBot Follower Repository
• DuckieBot Model Training Repository

Acknowledgements

This project was developed in collaboration with Filipe Campos and Francisco Rente.