Front page

Learning autonomy


Robotics and AI made

What’s new?

Tweets

The Duckietown project

Duckietown started as a class at MIT in 2016. You can watch the “duckumentary” created about the first class.

Duckietown is now a worldwide initiative to realize a new vision for AI and robotics education.

Since 2018 the project is coordinated by the non-profit Duckietown Foundation.

Read more: The Duckietown Foundationour missionour story; how you can help.

The Duckietown platform

The platform has two parts: DuckieBots and DuckieTowns. 

DuckieBots are low-cost mobile robots that are built almost entirely from off-the-shelf parts. 

DuckieTowns are the urban environments: roads, constructed from exercise mats and tape, and the signage which the robots use to navigate around. DuckieTowns can be transformed into smart cities by adding traffic lights and watchtowers.

Discover the platform >

Duckietown for education

The Duckietown platform designed as part of an a university AI/robotics curriculum.

It has been used in prestigious universities, such as MIT, ETH Zürich, and Université de Montréal.

We are developing a “class-in-a-box” that comprises lectures, exercises, and theory, that combine with the physical robot platform to reinforce the core concepts.

If you are an instructor interested in using Duckietown, read here to get started.

Duckietown for research

The Duckietown platform has also been used extensively for research on mobile robotics and physically embodied AI systems.

If you are a researcher, read more about getting started about using the platform for research. You might also be interested in the papers about Duckietown.

Duckietown for “Makademics”

Makademics (makers + academics) are people who want to learn and build on their own and also want a deep understanding of how things are working.

We want to allow everybody to learn AI and robotics even if they are not at elite institutions like MIT and ETH Zürich.

With Duckietown you can easily build your own robot, and follow along our lectures and interact with a global community of learners.

Duckietown is a computational ecosystem for tangible and accessible state-of-the-art learning experiences in robotics and AI.

We provide open-source software, classroom materials, simulation environment, datasets, a standardized hardware ecosystem, and distribute them internationally.

Testimonials

“Teaching the Duckietown class was a wonderful experience for me and my students. The materials are great and the hands-on experience with the robot really helps reinforce the curriculum.”
Matthew Walter, Prof.
Toyota Technological Institute in Chicago (TTIC)

“Duckietown was much more than just a class, it was a hands-on deep dive into hardware, software, and systems integration, and, most of all, it was a blast!”
Teddy Ort
Ph. D. Student, Massachusetts Institute of Technology (MIT)

“Spending the summer in Duckietown at MIT made me discover a completely new world: I understood that education can be a game and learning can be fun!”
Valeria Cagnina
Enterpreneur, 16 anni

“If University were like learning how to play a new instrument, where lessons are the exercises and exams the final auditions, Duckietown would be the full-blown rock concert, where you play for your fans and look to your heroes with admiration.”
Gioele Zardini
Ph. D. Student, ETH Zurich

“The Duckietown class is the autonomous driving pie: the filling is hardcore robotics, the casing is artificial intelligence, and as a plus, you get some funny ducks on top!”
Manfred Diaz
Ph. D. Student, University of Montreal

“Starting from MIT CSAIL, Duckietown has grown into a global initiative that is inspiring students around the world to learn about self-driving cars, as well as the science and engineering of autonomy.”
Daniela Rus, Prof.
Director, Computer Science and AI Lab (CSAIL), MIT

providing learning experiences that are

What’s new?


AI-DO Robotarium Evaluations Underway

We have started evaluating the submissions in our “robotarium”: Duckiebot onboard camera feed Robotarium watchtower camera feed To queue your submissions for robotarium evaluation, please


Read More »

The Duckietown project

Duckietown started as a class at MIT in 2016. You can watch the “duckumentary” created about the first class.

Duckietown is now a worldwide initiative to realize a new vision for AI/robotics education.

Since 2018 the project is coordinated by the non-profit Duckietown Foundation.

Read more: The Duckietown Foundationour missionour story; how you can help.

The Duckietown platform

The platform has two parts: Duckiebots and Duckietowns. 

Duckiebots are low-cost mobile robots that are built almost entirely from off-the-shelf parts. The only onboard sensor is the forward-facing camera. 

Duckietowns are the roads, which are constructed from exercise mats and tape, and the signage which the robots use to navigate around. 

Read more about the platform…

Duckietown for education

The Duckietown platform designed as part of an a university AI/robotics curriculum. 

It has been used in prestigious universities, such as MIT, ETH Zürich, and Université de Montréal.

We are developing a “class-in-a-box” that comprises lectures, exercises, and theory, that combine with the physical robot platform to reinforce the core concepts. 

If you are an instructor interested in using Duckietown, read here to get started.

Duckietown for research

The Duckietown platform has also been used extensively for research on mobile robotics and physically embodied AI systems. 

If you are a researcher, read more about getting started about using the platform for research. See also: papers using Duckietown, the researchers using Duckietown.

Duckietown for “Makademics”

Makademics (makers + academics) are people who want to learn and build on their own and also want a very deep understanding of how things are working.

 
We want to allow everybody to learn AI/robotics even if they are not at elite institutions like MIT and ETH Zürich.
 

With Duckietown you can easily build your own robot, and follow along our lectures and interact with a global community of learners.