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.V25I1.8001

Markdown

[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.V25I1.8001

BibTeX

@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/}
}