An Evolved, Vision-Based Behavioral Model of Obstacle Avoidance Behaviour

Created by W.Langdon from gp-bibliography.bib Revision:1.4340

  author =       "Craig W. Reynolds",
  title =        "An Evolved, Vision-Based Behavioral Model of Obstacle
                 Avoidance Behaviour",
  booktitle =    "Artificial Life III",
  publisher =    "Addison-Wesley",
  year =         "1994",
  editor =       "Christopher G. Langton",
  volume =       "XVII",
  series =       "SFI Studies in the Sciences of Complexity",
  address =      "Santa Fe Institute, New Mexico, USA",
  month =        "15-19 " # jun # " 1992",
  pages =        "327--346",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "",
  URL =          "",
  abstract =     "Using a simple computational model of visual
                 perception and locomotion, obstacle avoidance behavior
                 can emerge from evolution under selection pressure from
                 an appropriate fitness measure. The Genetic Programming
                 paradigm is used to model evolution. Both the structure
                 of the visual sensor array, and the mapping from sensor
                 data to motor action is determined by an evolved
                 control program. The motor model assumes an innate
                 constant forward velocity and limited steering. The
                 agent can avoid collisions only by effective steering.
                 Fitness is based on the number of simulation steps the
                 agent can run before colliding with an obstacle.",
  notes =        "Held June 1992 in Santa Fe, New Mexico, USA. Updates
  size =         "21 pages",

Genetic Programming entries for Craig W Reynolds