AI Driving Olympics
Important Dates for AI-DO 3 at NeurIPS
Oct 28, 2019
Submit your algorithms to our challenges server and see how you place in the standings
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
Dec 13, 2019
Live competition at NeurIPS
Come one come all to watch the final runs of the top ranking competitors
(all times 9am EDT)
Thurs. Oct 31
- Description of the challenges
- Minimal agent template
Fri. Nov 1
- Classic template (ROS)
- Duckietown baseline
Mon. Nov 4
- Tensorflow template
- IL logs
- IL simulator
Tues. Nov. 5
- Pytorch template
Wed. Nov. 6
- Training in the cloud
Thurs. Nov 14
- Running on the 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 took place in May 2019 in conjunction with the International Conference on Robotics and Automation (ICRA) 2019.
AI-DO3 will occur at NeurIPS this December.
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.
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