• DocumentCode
    2214382
  • Title

    Optimal design and configurations of a mobile manipulator using genetic algorithms

  • Author

    Sakka, S. ; Chocron, O.

  • Author_Institution
    Lab. de Robotique de Paris, Univ. Paris 6, Velizy-Villacoublay, France
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    268
  • Lastpage
    273
  • Abstract
    An approach to design and control of mobile manipulators is presented, associating genetic algorithm to multicriteria optimization to generate and value the robots according to the constraints and aims of the task. Then the first step of this approach is detailed, as topologies and configurations of manipulators that can assume position, trajectory, speed or force tasks are studied
  • Keywords
    collision avoidance; convergence; genetic algorithms; geometry; manipulators; matrix algebra; mobile robots; force task; genetic algorithms; mobile manipulator; multicriteria optimization; optimal configurations; optimal design; position task; speed task; topologies; trajectory task; Algorithm design and analysis; Constraint optimization; Cost function; Design optimization; Genetic algorithms; Manipulators; Merging; Mobile robots; Stability; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robot and Human Interactive Communication, 2001. Proceedings. 10th IEEE International Workshop on
  • Conference_Location
    Bordeaux, Paris
  • Print_ISBN
    0-7803-7222-0
  • Type

    conf

  • DOI
    10.1109/ROMAN.2001.981913
  • Filename
    981913