Obstacle Detection in Autonomous Robots

The Duckietown Project was created by the MIT graduate class in 2016, and has transformed into a worldwide program. The Duckietown platform uses a robot consisting of cameras, actuators, and April Tags to navigate a modular cityscape. This research focuses on developing autonomous robots that integrate internal and external sensors with image processing to interpret their surroundings. The research aims to develop an algorithm enabling the Duckiebot to detect obstacles within the Duckietown environment. Through this research, we utilize Docker, Linux, Python, and machine learning to detect colors and objects.