Cornhole: A Widely-Accessible AI Robotics Task
Nate Derbinsky, Tyler Frasca · Proceedings of the AAAI Conference on Artificial Intelligence · 2017
In this paper we present the game of cornhole as a compelling, accessible, and adaptable AI robotics task. Cornhole is a fun and social game with simple rules, but involves strategy and physical training for humans to play competitively; thus, developing a robot that can play at the level of even the average human player presents a multitude of opportunities for curricular integration at a variety of levels. We characterize the AI tasks involved with the game, and present results and resources gained from preliminary offerings.