Projects for Learning Robotics and AI
This is a collection of hands-on projects for learning robotics and AI. Creating new autonomous behaviors is a great way for learners to collaborate and gain real-world skills in robotics systems and AI.
Project ideas
YOLO-based Robust Object Detection in Duckietown
This project implements robust object detection in Duckietown for Duckiebots under varying lighting conditions and object clutter using a YOLO-based NN.
Implementing vision based dynamic obstacle avoidance
This student project implements dynamic obstacle avoidance for Duckiebots with the aim of detecting and navigating around static and moving obstacles.
Development of an Ackermann steering autonomous vehicle
This student project implements an Ackermann steering system on a Duckiebot to simulate 4 wheels, and better and more complex real-world car model.
Introducing Autonomous Parking in Duckietown Cities
This student project implements an autonomous parking solution, inclusive of parking lot design and autonomous behavior, for Duckiebots in Duckietown.
Safe Reinforcement Learning (RL) Thesis Project
“Safe Reinforcement Learning (Safe-RL)” explores using Deep Q Learning to train Duckiebots to perform lane following. Reproduce these results with Duckietown.
Anatidaephilia: centralized city-based SLAM (cSLAM)
Anatidaephilia is loving the idea that somewhere, somehow, a duck is watching you. The cSLAM equips Duckietowns with the ability to localize Duckiebots.
This page is still a work in progress. Please pardon the dust as we upload more projects from our archives. Do not hesitate to contact us for additional ideas for your class!
Duckietown projects for learning robotics to share? Let us know!
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