Lego Plays Chess: A Low-Cost, Low-Complexity Approach to Intelligent Robotics
Abstract
The design and implementation of a robotic chess agent is described. Shallow Blue, a competitor in the AAAI 2011 Small Scale Manipulation Challenge, is constructed with low-cost components including Lego NXT bricks and is programmed using Java and Lejos.
Cite
Text
Lanighan et al. "Lego Plays Chess: A Low-Cost, Low-Complexity Approach to Intelligent Robotics." AAAI Conference on Artificial Intelligence, 2011. doi:10.1609/AAAI.V25I1.8001Markdown
[Lanighan et al. "Lego Plays Chess: A Low-Cost, Low-Complexity Approach to Intelligent Robotics." AAAI Conference on Artificial Intelligence, 2011.](https://mlanthology.org/aaai/2011/lanighan2011aaai-lego/) doi:10.1609/AAAI.V25I1.8001BibTeX
@inproceedings{lanighan2011aaai-lego,
title = {{Lego Plays Chess: A Low-Cost, Low-Complexity Approach to Intelligent Robotics}},
author = {Lanighan, Michael and Sikorskyj, Jerod and Burhans, Debra T. and Selkowitz, Robert},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2011},
pages = {1876-1877},
doi = {10.1609/AAAI.V25I1.8001},
url = {https://mlanthology.org/aaai/2011/lanighan2011aaai-lego/}
}