On possibilities of evolutionary synthesis of robot control sequences

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

@InProceedings{Zelinka:2016:RCAR,
  author =       "I. Zelinka",
  booktitle =    "2016 IEEE International Conference on Real-time
                 Computing and Robotics (RCAR)",
  title =        "On possibilities of evolutionary synthesis of robot
                 control sequences",
  year =         "2016",
  pages =        "332--337",
  abstract =     "In this paper there are introduced, discussed and
                 demonstrated capabilities of bio-inspired algorithms,
                 especially algorithms like genetic programming,
                 analytic programming etc., on evolutionary synthesis of
                 controlling commands for the robot on the test path.
                 Methods proposed and discussed in the paper are
                 explained and demonstrated on the classical text
                 example of the robot-artificial ant on Santa Fe Trail.
                 The Santa Fe Trail problem is one of the most classical
                 exercise from genetic programming. In this problem so
                 called artificial ants search for a pellets of food
                 according to synthesised set of instructions. This set
                 of instructions can be synthesised by specialized
                 evolutionary algorithms, that are discussed here as
                 well as selected examples. At the end possibility of
                 swarm robots control and strategies identification are
                 discussed.",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/RCAR.2016.7784049",
  month =        jun,
  notes =        "Also known as \cite{7784049}",
}

Genetic Programming entries for Ivan Zelinka

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