Teach and Learn Robotics and AI
Create hands-on vehicle autonomy classes and get ready for the era of AI robotics.
Teach and Learn Robotics and AI
Create hands-on vehicle autonomy classes and get ready for the era of AI robotics.
Teach and Learn Robotics and AI
Create hands-on vehicle autonomy classes and get ready for the era of AI robotics.
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Teach and Learn Robotics and AI

Create hands-on vehicle autonomy classes and get ready for the era of AI robotics.

Duckietown for teaching robot autonomy

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.

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Duckietown for learning robot autonomy

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.

Duckietown around the world

Universities
250 +
Companies
160 +
Countries
68
Logo of Rome University "La Sapienza"
Duoc UC University Duckietown
University of Nevada Logo
TUM Duckietown
duckietown is an nvidia inception program member
Duckieworks AG, a Duckietown affiliate company, is an ETH tech Spinoff
duckietown is an edtech awards finalist for 2020 and 2021
massrobotics and duckietown are partners

Learning robotics and AI: robot autonomy

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.

The Duckietown project: from MIT to everyone

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. 

The pedagogical platform: a minimal autonomy ecosystem

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.

Duckietown for research

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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