Evolving a Vision-Driven Robot Controller for Real-World Indoor Navigation

Created by W.Langdon from gp-bibliography.bib Revision:1.4534

  title =        "Evolving a Vision-Driven Robot Controller for
                 Real-World Indoor Navigation",
  author =       "Pawel Gajda and Krzysztof Krawiec",
  bibdate =      "2008-04-15",
  bibsource =    "DBLP,
  booktitle =    "Proceedings of Evo{COMNET}, Evo{FIN}, Evo{HOT},
                 Evo{IASP}, Evo{MUSART}, Evo{NUM}, Evo{STOC}, and
                 EvoTransLog, Applications of Evolutionary Computing,
  publisher =    "Springer",
  year =         "2008",
  volume =       "4974",
  editor =       "Mario Giacobini and Anthony Brabazon and 
                 Stefano Cagnoni and Gianni {Di Caro} and Rolf Drechsler and 
                 Anik{\'o} Ek{\'a}rt and Anna Esparcia-Alc{\'a}zar and 
                 Muddassar Farooq and Andreas Fink and Jon McCormack and 
                 Michael O'Neill and Juan Romero and Franz Rothlauf and 
                 Giovanni Squillero and Sima Uyar and Shengxiang Yang",
  isbn13 =       "978-3-540-78760-0",
  pages =        "184--193",
  series =       "Lecture Notes in Computer Science",
  DOI =          "doi:10.1007/978-3-540-78761-7_19",
  address =      "Naples",
  month =        "26-28 " # mar,
  keywords =     "genetic algorithms, genetic programming",
  abstract =     "In this paper, we use genetic programming (GP) to
                 evolve a vision-driven robot controller capable of
                 navigating in a real-world environment. To this aim, we
                 extract visual primitives from the video stream
                 provided by a camera mounted on the robot and let them
                 to be interpreted by a GP individual. The response of
                 GP expressions is then used to control robot's servos.
                 Thanks to the primitive-based approach, evolutionary
                 process is less constrained in the process of
                 synthesising image features. Experiments concerning
                 navigation in indoor environment indicate that the
                 evolved controller performs quite well despite very
                 limited human intervention in the design phase.",

Genetic Programming entries for Pawel Gajda Krzysztof Krawiec