Curly: An AI-based Curling Robot Successfully Competing in the Olympic Discipline of Curling

Curly: An AI-based Curling Robot Successfully Competing in the Olympic Discipline of Curling

Dong-Ok Won, Byung-Do Kim, Ho-Jung Kim, Tae-San Eom, Klaus-Robert Müller, Seong-Whan Lee

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence

Most artificial intelligence (AI) based learning systems act in virtual or laboratory environments. Here we demonstrate an AI-based curling robot system named `Curly' that competes on a real-world curling ice sheet. Curly encompasses (1) an AI-based curling strategy and simulation engine under consideration of the high `icy' uncertainty, (2) the thrower robot enabled by autonomous driving with traction control, and (3) the skip robot that allows to recognize the curling field and stone configuration based on vision technology. The Curly performed well both: in classical game situations and when interacting with human opponents, namely, the top-ranked Korean amateur high school curling team.
Keywords:
Machine Learning: Machine Learning
Planning and Scheduling: Planning under Uncertainty
Planning and Scheduling: Planning with Incomplete information
Robotics and Vision: Behavior and Control