Duckietown

Duckietown started as a class at MIT and now operates as a full learning platform for robot autonomy. At its center is the Duckiebot, a small wheeled robot that carries a camera and a compute board; students assemble it, program it, and use it to explore perception, control, localization, and planning. Alongside the hardware, Duckietown supplies interactive lectures, Duckumentation guides, a simulator called Duckiematrix, and assignment materials that instructors can drop into an existing syllabus.

The offering is organized around three audiences. Instructors and universities get ready-made course content, slide decks, autograding ideas, and support so they can run an autonomy class without writing it from scratch. Independent learners can buy a robot and work through the same lectures at their own pace, using community forums when they get stuck. Researchers use Duckietown as a reproducible testbed for mobile robotics and embodied AI, and the linked Autolabs make it easier to replicate experiments across institutions.

Because the platform mixes physical kits with digital curriculum, pricing depends on what you need: course licenses for schools and enterprises, hardware bundles, and free documentation and open-source software for anyone who already has compatible parts. Duckietown is widely used in university robotics courses and in the AI Driving Olympics competition, which lets teams test autonomy algorithms against a shared benchmark.