Cooperative Transportation by Humanoid Robots: Learning to Correct Positioning

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Y. Inoue and T. Tohge and H. Iba",
  year =         "2003",
  title =        "Cooperative Transportation by Humanoid Robots:
                 Learning to Correct Positioning",
  editor =       "Ajith Abraham and Mario K{\"o}ppen and Katrin Franke",
  chapter =      "Real-World Applications",
  series =       "Frontiers in Artificial Intelligence and Applications
                 Vol. 104",
  pages =        "1124--1134",
  booktitle =    "Design and Application of Hybrid Intelligent Systems",
  publisher =    "IOS Press Amsterdam, Berlin, Oxford, Tokyo, Washington
  address =      "Melbourne",
  month =        dec,
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "1-58603-394-8",
  URL =          "",
  size =         "10 pages",
  abstract =     "In this paper, we describe a cooperative
                 transportation problem with two humanoid robots and
                 introduce a machine learning approach to solving the
                 problem. The difficulty of the task lies on the fact
                 that each position shifts with the other's while they
                 are moving. Therefore, it is necessary to correct the
                 position in a realtime manner. However, it is difficult
                 to generate such an action in consideration of the
                 physical formula.We empirically show how successful the
                 humanoid robot HOAP-1's cooperate with each other for
                 the sake of the transportation as a result of
  notes =        "part of his03:book",

Genetic Programming entries for Yutaka Inoue Takahiro Tohge Hitoshi Iba