• DocumentCode
    1563720
  • Title

    A genetic methodology for reachability evaluation of manipulators

  • Author

    Liu, Mingyao ; Tan, Dalong ; Wang, Jianhua

  • Author_Institution
    Sch. of Mech. & Electron. Eng., Wuhan Univ. of Technol., China
  • Volume
    5
  • fYear
    2004
  • Firstpage
    4631
  • Abstract
    In the process of manipulator design, reachability is an essential constrained condition. Because determining reachable position/orientation workspace is very difficult and reachability evaluation is very complicated. According to the concept of distance metrics in configuration space, we defined a distance between a target and a workspace by taking into consideration the position and orientation. If the distance is zero the manipulator can reach this target point. Reachability evaluation can be transformed into a high nonlinear optimization problem. A genetic methodology for reachability evaluation of manipulators is presented. The effectiveness and convergence are ascertained by a simulation example.
  • Keywords
    convergence; genetic algorithms; manipulators; reachability analysis; convergence; distance metrics; genetic methodology; manipulator design; manipulator workspace; nonlinear optimization problem; reachability evaluation; target distance; Convergence; Design engineering; Extraterrestrial measurements; Genetic algorithms; Manipulators; Mechanical engineering; Process design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
  • Print_ISBN
    0-7803-8273-0
  • Type

    conf

  • DOI
    10.1109/WCICA.2004.1342397
  • Filename
    1342397