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AI Driving Olympics

competition_overview
The finals of AI-DO 1 at NeurIPS

Important Dates for AI-DO at ICRA

Apr 15, 2019

Submissions open
Submit your algorithms to our challenges server and see how you place in the standings

Apr 30, 2019

Challenge evaluation criteria finalized 
Now that we’ve calibrated the rules and evaluation criteria to match the quality of the submissions you can fine tune your approach

May 1, 2019

Real Robot Evaluations
For those who do not have access to their own Duckiebot and Duckietown, we hope to provide opportunities for testing of algorithms through online submission and remote running on Duckietown “robotariums” in Zurich, Chicago, or Montreal

*Note: The success of this process is dependant on the number or competitors and availability of robotarium volunteers. We thank you for your understanding

May 20-22, 2019

Final testing opportunity in our demo Duckietown at ICRA
Test your submission on a Duckiebot ahead of the live competition

May 22, 2019 (afternoon)

Live competition at ICRA
Come one come all to watch the final runs of the top ranking competitors

Get Started

Quick Links

Webinars

Dates

(subject to change)

Presenter

Topics

Recorded Video

1. April 18
9am EST

  • Introduction
  • Description of the challenges
  • Minimal agent template

to come

2. April 24
9am EST

  • Pytorch template
  • RL

to come

3. April 24
10am EST

  • Tensorflow template
  • IL logs
  • IL simulator

to come

4. April 25
9am EST

  • AMOD challenges

to come

4. April 25
10 am EST

  • Classic template (ROS)
  • Duckietown baseline

to come

4. April 26
9am EST

  • Training in the cloud

to come

5. April 26
10am EST

  • Running on the Duckiebot

to come

FAQs

Do I need to attend ICRA to compete in the competition?

No! If you are not present at the conference we will run your submission on your behalf.

How do I get help?

How do I get a Duckiebot?

About the AI-DO

The Duckietown Foundation is excited to host the The AI Driving Olympics (AI-DO), a competition focused around AI for self-driving cars.

The first edition of the AI-DO took place in December 2018, at NeurIPS, the premiere machine learning conference, in Montréal. This is the first competition that will take place at a machine learning conference with real robots.

The second edition of AI-DO will take place in May 2019 in conjunction with the International Conference on Robotics and Automation (ICRA) 2019.

Check out the most current press release

AI-DO 3 will take place at NeurIPS 2019 in Vancouver Canada!

The main purpose of the competition is to probe the frontier of the state of the art in machine learning in the interactive and embodied setting. 

Recent progress in Deep Learning, Machine Learning, and Reinforcement Learning has produced incredible results. This competition is designed to evaluate the real ability for these learning-based systems to control physical mobile robots. 

Competitors will have access to simulatorslogs, and a training track that will be available for testing during the conference ahead of the live competition. The entries that score best running on real Duckietowns will be compete during the live event.

Quotes from the experts

“The AI Driving Olympics is a great way to push the limits of deep learning on physically embodied systems.”

Yoshua Bengio, University of Montreal

“The AI Driving Olympics offer a glimpse of the challenges of creating self-driving cars. A playful but rigorous competition on a smaller and safer testbed is the best way to develop the creativity needed to make progress in this field.”

Emilio Frazzoli, ETH Zurich / nuTonomy

“It is great to see Duckietown host the AI Driving Olympics at ICRA and NIPS. What a fun way to demonstrate the real challenges in building and deploying self driving cars!”

John Leonard, MIT

“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, MIT

Thank you to our generous sponsors!

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