On Human Competitiveness of the Evolved Agent Operating a Scale Model of a Car

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

@InProceedings{Tanev:cec:2007a,
  author =       "Ivan Tanev and Katsunori Shimohara",
  title =        "On Human Competitiveness of the Evolved Agent
                 Operating a Scale Model of a Car",
  booktitle =    "2007 IEEE Congress on Evolutionary Computation",
  year =         "2007",
  editor =       "Dipti Srinivasan and Lipo Wang",
  pages =        "3646--3653",
  month =        "25-28 " # sep,
  organization = "IEEE Computational Intelligence Society",
  publisher =    "IEEE Press",
  ISBN =         "1-4244-1340-0",
  file =         "1800.pdf",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/CEC.2007.4424945",
  abstract =     "We present an approach for evolutionary design of the
                 driving style of an agent, remotely operating a scale
                 model of a car in a human competitive way. The agent
                 perceives the environment from an overhead video camera
                 and conveys its actions to the car via standard radio
                 remote control transmitter. In order to cope with the
                 video feed latency we propose an anticipatory modelling
                 in which the agent considers its current actions based
                 on the anticipated intrinsic (rather than currently
                 available, outdated) state of the car and its
                 surrounding. We formalised the notion of driving style
                 by defining the key parameters, which describe it, and
                 demonstrated the feasibility of applying genetic
                 algorithms to evolve the optimal values of these
                 parameters. The optimised driving style, employed by
                 the agent, is human competitive in that it yields both
                 faster and more consistent lap times than those of a
                 human around a predefined circuit. Presented work can
                 be viewed as a step towards the automated design of the
                 control software of remotely operated vehicles capable
                 to find an optimal solution to various tasks in a
                 priori known environmental situations. Also, the
                 results can be seen as a verification of the
                 feasibility of developing a framework of adaptive
                 racing games in which the human competes against a
                 computerised opponent with matching capabilities, both
                 operating physical, scale models of cars.",
  notes =        "CEC 2007 - A joint meeting of the IEEE, the EPS, and
                 the IET.

                 IEEE Catalog Number: 07TH8963C",
}

Genetic Programming entries for Ivan T Tanev Katsunori Shimohara

Citations