Behavior Hierarchy for Autonomous Mobile Robots: Fuzzy-behavior modulation and evolution

Created by W.Langdon from gp-bibliography.bib Revision:1.4208

  author =       "Edward Tunstel and Tanya Lippincott and Mo Jamshidi",
  title =        "Behavior Hierarchy for Autonomous Mobile Robots:
                 Fuzzy-behavior modulation and evolution",
  journal =      "International Journal of Intelligent Automation and
                 Soft Computing, Special Issue: Autonomous Control
                 Engineering at NASA ACE Center",
  year =         "1997",
  volume =       "3",
  number =       "1",
  pages =        "37--49",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "",
  size =         "14 pages",
  abstract =     "Realization of autonomous behavior in mobile robots,
                 using fuzzy logic control, requires formulation of
                 rules which are collectively responsible for necessary
                 levels of intelligence. Such a collection of rules can
                 be conveniently decomposed and efficiently implemented
                 as a hierarchy of fuzzy-behaviors. This article
                 describes how this can be done using a behavior-based
                 architecture. A behavior hierarchy and mechanisms of
                 control decision-making are described. In addition, an
                 approach to behavior coordination is described with
                 emphasis on evolution of fuzzy coordination rules using
                 the genetic programming (GP) paradigm. Both
                 conventional GP and steady-state GP are applied to
                 evolve a fuzzy-behavior for sensor-based goal-seeking.
                 The usefulness of the behavior hierarchy, and partial
                 design by GP, is evident in performance results of
                 simulated autonomous navigation.",
  notes =        "


Genetic Programming entries for Edward W Tunstel Tanya Lippincott Mohammad Jamshidi