Design of Decentralized Controllers for Self-Reconfigurable Modular Robots Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{bennett:2000:EH,
  author =       "Forrest H {Bennett III} and Eleanor G. Rieffel",
  title =        "Design of Decentralized Controllers for
                 Self-Reconfigurable Modular Robots Using Genetic
                 Programming",
  booktitle =    "Proceedings of the Second NASA / DoD Workshop on
                 Evolvable Hardware",
  year =         "2000",
  pages =        "43--52",
  address =      "Palo Alto, California",
  month =        jul # " 13-15",
  organisation = "Jet Propulsion Laboratory, California Institute of
                 Technology",
  publisher =    "IEEE Computer Society",
  keywords =     "genetic algorithms, genetic programming, connectivity
                 topology, control software, decentralized controllers,
                 distributed controllers, physical adaptability,
                 robustness, self-reconfigurable modular robots, control
                 engineering computing, controllers, decentralised
                 control",
  ISBN =         "0-7695-0762-X",
  DOI =          "doi:10.1109/EH.2000.869341",
  abstract =     "Advantages of self-reconfigurable modular robots over
                 conventional robots include physical adaptability,
                 robustness in the presence of failures, and economies
                 of scale. Creating control software for modular robots
                 is one of the central challenges to realizing their
                 potential advantages. Modular robots differ enough from
                 traditional robots that new techniques must be found to
                 create software to control them. The novel difficulties
                 are due to the fact that modular robots are ideally
                 controlled in a decentralized manner, dynamically
                 change their connectivity topology, may contain
                 hundreds or thousands of modules, and are expected to
                 perform tasks properly even when some modules fail. We
                 demonstrate the use of genetic programming to
                 automatically create distributed controllers for
                 self-reconfigurable modular robots. .",
  notes =        "EH-2000
                 http://ic-www.arc.nasa.gov/ic/eh2000/index.html
                 http://csdl.computer.org/comp/proceedings/eh/2000/0762/00/0762toc.htm",
}

Genetic Programming entries for Forrest Bennett Eleanor G Rieffel

Citations