What is duckietown.com?

Duckietown provides a comprehensive platform for education and research in robotics and artificial intelligence, originating from an initiative at MIT. It aims to make learning about autonomous systems accessible and engaging through a hands-on approach. The ecosystem includes interactive learning materials, simulations, and physical hardware like Duckiebots (mobile robots) and Duckiedrones (quadcopters) that operate within configurable Duckietown environments.

Designed for instructors, students, and researchers, Duckietown offers streamlined teaching solutions, independent learning pathways, and an open platform for research on mobile robotics and embodied AI. It supports users in building, programming, and deploying autonomous systems, fostering a deeper understanding of concepts ranging from computer vision and control systems to localization and system integration within a standardized, small-scale environment.

Features

Hands-on Learning Ecosystem: Integrates interactive lectures, simulations, physical robots (Duckiebots, Duckiedrones), and customizable environments (Duckietowns).
Comprehensive Curriculum: Offers materials based on MIT course structure for teaching vehicle autonomy.
Open Research Platform: Provides accessible means for reproducible research on mobile robotics and physically embodied AI systems (Autolabs).
Modular Hardware: Features low-cost, customizable robots (Duckiebots) and drones (Duckiedrones) built from off-the-shelf parts.
Community Support: Includes access to a global community of learners, instructors, and researchers, plus technical support options.
Simulation Environment: Includes the Duckietown Simulator for virtual testing and learning.