Hormone-Inspired Behaviour Switching for the Control of Collective Robotic Organisms

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Tuze Kuyucu and Ivan Tanev and Katsunori Shimohara",
  title =        "Hormone-Inspired Behaviour Switching for the Control
                 of Collective Robotic Organisms",
  journal =      "Robotics",
  year =         "2013",
  volume =       "2",
  number =       "3",
  pages =        "165--184",
  note =         "Special Issue Intelligent Robots",
  keywords =     "genetic algorithms, genetic programming, collective
                 robotics, modular robotics, swarm robotics,
                 hormone-inspired, XGP, reconfigurable robotics,
  ISSN =         "2218-6581",
  bibsource =    "OAI-PMH server at www.doaj.org",
  language =     "eng",
  oai =          "oai:doaj-articles:418516ff62ae6d9b618cd01b8cc3f532",
  publisher =    "Multidisciplinary Digital Publishing Institute",
  URL =          "http://www.mdpi.com/2218-6581/2/3/165",
  DOI =          "doi:10.3390/robotics2030165",
  abstract =     "Swarming and modular robotic locomotion are two
                 disconnected behaviours that a group of small
                 homogeneous robots can be used to achieve. The use of
                 these two behaviours is a popular subject in robotics
                 research involving search, rescue and exploration.
                 However, they are rarely addressed as two behaviours
                 that can coexist within a single robotic system. Here,
                 we present a bio-inspired decision mechanism, which
                 provides a convenient way for evolution to configure
                 the conditions and timing of behaving as a swarm or a
                 modular robot in an exploration scenario. The decision
                 mechanism switches among two behaviours that are
                 previously developed (a pheromone-based swarm control
                 and a sinusoidal rectilinear modular robot movement).
                 We use Genetic Programming (GP) to evolve the
                 controller for these decisions, which acts without a
                 centralised mechanism and with limited inter-robot
                 communication. The results show that the proposed
                 bio-inspired decision mechanism provides an evolvable
                 medium for the GP to use in evolving an effective
                 decision-making mechanism.",

Genetic Programming entries for Tuze Kuyucu Ivan T Tanev Katsunori Shimohara