Publication details

A Genetic Regulatory Network-Inspired Real-Time Controller for a Group of Underwater Robots

Tim Taylor
2004
Abstract

A decentralised real-time controller for a group of robots is presented, the design of which is inspired by biological genetic regulatory networks. A genetic algorithm (GA) is used to automatically evolve controllers for specific tasks. Results of initial experiments are presented and analysed, which demonstrate that it is possible to successfully evolve the controllers to achieve a simple clustering task. Performance is robust under a variety of parameter choices for the GA and controller.

Full text
  • Author preprint: pdf
Reference

Taylor, T. (2004). A Genetic Regulatory Network-Inspired Real-Time Controller for a Group of Underwater Robots. In F. Groen, N. Amato, A. Bonarini, E. Yoshida, & B. Kröse (Eds.), Intelligent Autonomous Systems 8 (Proceedings of IAS-8) (pp. 403–412). Amsterdam: IOS Press.

BibTeX

@inproceedings{taylor2004genetic,
  author = {Taylor, Tim},
  title = {A Genetic Regulatory Network-Inspired Real-Time Controller for a Group of Underwater Robots},
  booktitle = {Intelligent Autonomous Systems 8 (Proceedings of IAS-8)},
  year = {2004},
  editor = {Groen, Frans and Amato, Nancy and Bonarini, Andrea and Yoshida, Eiichi and Kr\"{o}se, Ben},
  pages = {403-412},
  address = {Amsterdam},
  publisher = {{IOS} Press},
  category = {conference},
  keywords = {grn, hydra, robots}
}

Note

Record on departmental database: EDI-INF-RR-0184

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