Cornhole: A Widely-Accessible AI Robotics Task
Abstract
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.
Cite
Text
Derbinsky and Frasca. "Cornhole: A Widely-Accessible AI Robotics Task." AAAI Conference on Artificial Intelligence, 2017. doi:10.1609/AAAI.V31I1.10546Markdown
[Derbinsky and Frasca. "Cornhole: A Widely-Accessible AI Robotics Task." AAAI Conference on Artificial Intelligence, 2017.](https://mlanthology.org/aaai/2017/derbinsky2017aaai-cornhole/) doi:10.1609/AAAI.V31I1.10546BibTeX
@inproceedings{derbinsky2017aaai-cornhole,
title = {{Cornhole: A Widely-Accessible AI Robotics Task}},
author = {Derbinsky, Nate and Frasca, Tyler M.},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2017},
pages = {4771-4774},
doi = {10.1609/AAAI.V31I1.10546},
url = {https://mlanthology.org/aaai/2017/derbinsky2017aaai-cornhole/}
}