The Duckietown Foundation announces the AI Driving Olympics (AI-DO), a self-driving car competition to debut at NIPS 2018

The Duckietown Foundation is excited to announce the The AI Driving Olympics, a new competition focused around AI for self-driving cars. The first edition of the AI Driving Olympics 2018 will take place December 7, 2018, at Neural Information Processing Systems (NIPS), the premiere machine learning conference, in Montréal. This is the first competition with real robots that will take place at a machine learning conference.

The competition will use the Duckietown platform, a miniature self-driving car platform used for autonomy education and research. The Duckietown project originated at MIT in 2016 and is now used by many institutions worldwide.

The AI Driving Olympics is presented in collaboration with 6 academic institutions: ETH Zürich (Switzerland), Université de Montréal (Canada), National Chiao Tung University (Taiwan), Toyota Technological Institute at Chicago (USA), Tsinghua University (China) and Georgia Tech (USA), as well as two industry co-organizers: nuTonomy (a self-driving car company) and Amazon Web Services (AWS).

About the competition: The competition comprises 4 challenges of increasing complexity: 1) Road following on an empty road; 2) Road following with obstacles; 3) Point to point navigation in a city network with other vehicles; and 4) Fleet planning for a full autonomous mobility on demand system.

Competitors will have access to a suite of professional development tools (simulators, logs, baseline implementations). Real environments called “Robotariums” will be remotely accessible for evaluation. The highest scoring entries in the robotariums will be run during the live event at NIPS 2018 to determine the overall winners.

Scientific goals: The competition aims at directing academic research towards the hard problems of embodied AI, such as modularity of learning processes, and learning in simulation while deploying in reality.  

Social goals: The competition also promotes the democratization of AI and robotics research by using an inexpensive platform, and offering a common infrastructure available through the use of remote testing facilities. Competitors can also build or acquire their own testing facility (Duckiebots and a Duckietowns), through either open-source DIY instructions, or as rewards obtained in our kickstarter campaign (https://www.kickstarter.com/projects/163162211/duckietown-a-playful-road-to-learning-robotics-and?ref=dwrnb2)

 

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