What we do
The 2021 AI Driving Olympics Compete in the 2021 edition of the Artificial Intelligence Driving Olympics (AI-DO 6)! The AI-DO serves to benchmark the state
Compete in the 5th AI Driving Olympics (AI-DO) The 5th edition of the Artificial Intelligence Driving Olympics (AI-DO 5) has officially started! The AI-DO serves
Duckietown and NVIDIA work together for accessible AI and robotics education: Meet the NVIDIA powered Duckiebot
Duckietown and NVIDIA partnership for accessible AI and robotics education NVIDIA GTC, October 6, 2020: Duckietown and NVIDIA align efforts to push the boundaries of
The AI Driving Olympics (AI-DO) is back! We are excited to announce the launch of the AI-DO 3, which will culminate in a live competition event
Team JetBrains came out on top on all 3 challenges It was a busy (and squeaky) few days at the International Conference on Robotics and
We caught up with Liam Paull Professor of Computer Science At the Université de Montréal and co-founder of #Duckietown. He shares Duckietown’s genesis story, the road to building something “bigger than just a class” and what is in store for the future!
Memory helps #robots juggle more data and deploy smarter algorithms. Did you know that Duckiebots now support Jetson Nanos 4GB, in addition to the 2GB model, to provide even more versatility in learning experiences?
Check it out here:
Francesco Maurelli, professor at the @jacobs_bremen
Jacobs University Bremen shares his journey to bring robotics closer to the students by implementing Duckietown in his courses.
Read the full interview here https://t.co/Rwh4aSN54K
RT @EandTmagazine: A witty Brit-themed smart city layout – with the inevitable ducks! 🦆😀 – from @DuckietownAI to demonstrate its autonomy,…
How many duckies can YOU handle? 🐤
We’ll be here until Sunday, come visit us in the Future Lab at the Goodwood Festival of Speed #FOS.
@fosgoodwood #LearningAutonomy https://t.co/lhdTL9D6H8
Good morning @fosgoodwood visitors! Come and say hi in the Future Lab – we are at stand A13. Duckietown’s smart city is in full flow.
#LearningAutonomy #FOS https://t.co/ogoHTPJVda
Sneak peak 👀of our home for the next few days @fosgoodwood in the Future lab. #fos https://t.co/tfiYhTjXPY
Come visit Duckietown 🐤 at the Goodwood Festival of Speed #FOS – you will find us in the Future Lab at stand A13 @fosgoodwood 23 – 26 June https://t.co/k1c8Trx3Fp
Duckietown’s infrastructure is used by researchers worldwide to push the boundaries of knowledge. Today we’d like to highlight “Monocular Robot Navigation with Self-Supervised Pretrained Vision Transformers” by Saavedra-Ruiz et al. at the @UMontreal
Vincenzo shared with us how he put into practice the theory he learned along the way. Read more about his journey and check out the links to his autonomy projects with a focus on parking and enhanced vision using Duckietown.
Get started with the platform
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.
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.
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.