Cornhole: A Widely-Accessible AI Robotics Task

Derbinsky, Nate (Wentworth Institute of Technology) | Frasca, Tyler M. (Tufts University)

AAAI Conferences 

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.

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