Duckietown https://validator.w3.org/feed/docs/rss2.html Guides for getting started with Duckietown Self-Driving Cars with Duckietown: learn the technology of autonomous vehicles Sim-to-Sim-to-Real Transfer for Small Autonomous Vehicles Safe Reinforcement Learning (RL) Thesis Project Reinforcement Learning for the Control of Autonomous Robots Deep Reinforcement Learning for Autonomous Lane Following Pure Pursuit Lane Following with Obstacle Avoidance Introducing Autonomous Parking in Duckietown Cities Smart Lighting: Realistic Day and Night in Duckietown Path Planning for Multi-Robot Navigation in Duckietown QuackCruiser: Autonomous Navigation with Dijkstra Autonomous Navigation System Development in Duckietown Features for Efficient Autonomous Navigation in Duckietown Monocular Navigation in Duckietown Using LEDNet Architecture Extended Kalman Filter (EKF) SLAM for Duckiebots Duckiebot Localization with Sensor Fusion in Duckietown Intersection Navigation in Duckietown Using 3D Image Features Autoduck: VLM-based Autonomous Navigation in Duckietown Visual Obstacle Detection using Inverse Perspective Mapping Website accessibility statement DB21v3-J Duckiebot upgrade kit now available Duckiebots now available pre-assembled and initialized People of Duckietown: stories from learners worldwide Mission: a new vision for education Autonomous Navigation and Parking in Duckietown Integrated Benchmarking and Design for Reproducible and Accessible Evaluation of Robotic Agents Learning robot autonomy with Duckiedrones University of Nevada: Professor Lei Yang uses Duckietown based RET​ Privacy Policy Tor Vergata University and Duckietown deliver hands-on control systems workshop at EU Maker Faire Rome 2025 Educational resources: teach and learn robotics and AI from here Ducks and robots: why the Duckies in Duckietown The Impact of Autonomous Drone Technology Build your Duckietown robots now with step-by-step instructions Duckietown at the European Maker Faire 2025 – Rome Visual Control for Autonomous Navigation in Duckietown Robert Moni’s experience after winning AI-DO 5 Sim2Real Lane Segmentation via Domain Adaptation Object Detection on Duckiebots Using YOLOv5 Models Self driving cars, a technology that could change the world Interpretable Reinforcement Learning for Visual Policies Start doing research with Duckietown: first steps for pros Technology: a complete platform for learning robot autonomy AI Driving Olympics Ready for Submissions New Software Release – Ente Changelog AI-DO I Interactive Tutorials Survey on Testbeds for Vehicle Autonomy & Robot Swarms Duckiebots are ready to conquer the world! Kicking off the Duckietown Donation program with Cali, Colombia Duckietown: learning robotics and AI like the best professionals