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Teaching and learning robotics and AI is hard.
Building on the first class at MIT, Duckietown streamlines creating, delivering, and consuming robotics and AI learning experiences.
We offer a “class-in-a-box” teaching solution to instructors, hands-on learning activities to learners, and an accessible research platform to researchers.
Duckietown is a sandbox learning ecosystem primed with lectures, exercises, theory, hardware, automatic evaluations, extensive documentation, and technical support – combining simulation with the physical robot platform to reinforce the core concepts.
We want to allow everybody to learn AI and robotics even if they are not at elite institutions like MIT and ETH Zürich.
Duckietown is for learners who want to learn robotics and AI independently, have a deep understanding of how things work, and gain professional skills to boost their careers.
With Duckietown you can build your own robot, follow along with our lectures, and interact with a global community of learners.
Learning robotics and AI is hard. Originating at MIT, Duckietown streamlines creating, delivering and consuming cutting-edge robotics and AI learning experiences.
We offer teaching resources to instructors, hands-on learning activities to learners, an accessible research platform to researchers, and a state-of-the-art ecosystem for professional training.
We believe the world needs more talent to shape the next generations of robot autonomy.
We know that talent is you.
Duckietown started as a class at MIT in 2016 and is now a worldwide initiative to realize a new vision for AI and robotics education: state-of-the-art, hands-on, and for all.
The Duckietown technical infrastructure is maintained and developed by Duckietown, Inc., a Boston-based company.
Duckietown has many components that work together to provide joyful learning experiences. The most tangible is the hardware: Duckiebots, Duckiedrones, and Duckietowns.
Duckiebots are low-cost mobile robots that are built almost entirely from off-the-shelf parts.
Duckiedrones are accessible autonomous quadcopters, that can be built and programmed from scratch.
Duckietowns are the urban environments: roads, constructed from exercise mats and tape, and the signage that the robots use to navigate around. Duckietowns can be transformed into smart cities (“Autolabs”) by adding traffic lights and watchtowers.
Learning robotics and AI is not only for students.
Duckietown has been used extensively for research on mobile robotics and physically embodied AI systems, with Autolabs providing accessible means for reproducible research.
You might be interested in the papers about Duckietown, and learning about how to build your fully customizable smart-city laboratory.
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