Obstacle Detection in Autonomous Robots
Session Number
ENGN 13
Advisor(s)
Dr. Matthew Walter, Toyota Technological Institute, Chicago Robotics Intelligence through Perception Lab
Discipline
Engineering
Start Date
17-4-2025 11:40 AM
End Date
17-4-2025 11:55 AM
Abstract
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.
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.