• DocumentCode
    2368340
  • Title

    Multi-objective optimization for number of joints and lengths of multi-jointed robot arm

  • Author

    Hyeongjun Kim ; Yamakawa, Hiroshi

  • Author_Institution
    Dept. of Modern Mech. Eng., Waseda Univ., Tokyo, Japan
  • fYear
    2012
  • fDate
    7-9 Dec. 2012
  • Firstpage
    196
  • Lastpage
    200
  • Abstract
    In this paper, we deal with optimization problems of the number of joints and lengths of multi-jointed rigid arms. We assume target points to yield a path by Spline function and formulate optimization problems with multiple loops to find optimum number of joints and lengths. The objective of the optimum problem can be taken among various functions. The optimal problem is formulated here by multi-objective functions minimizing driving energy and maximizing manipulability measure. It is a difficult problem to find the optimum number of joints and lengths of a multi-jointed rigid robot arm directly by mathematical programing. Then, we utilize an algorithm based on Genetic Algorithm (GA) in order to solve inverse dynamic problems and optimization problems. The obtained results are examined from many points of view.
  • Keywords
    genetic algorithms; manipulators; mathematical programming; splines (mathematics); GA; driving energy minimization; genetic algorithm; inverse dynamic problems; manipulability measure maximization; mathematical programming; multijointed rigid robot; multijointed robot arm length; multiobjective function; multiobjective optimization; optimal problem; spline function; Driving energy; Genetic algorithm; Manipulability measure; Multi-Jointed Robot Arm; Multi-objective optimization; Optimun number of joints and lengths;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Engineering Systems (ICIES), 2012 First International Conference on
  • Conference_Location
    Alexandria
  • Print_ISBN
    978-1-4673-4440-1
  • Type

    conf

  • DOI
    10.1109/ICIES.2012.6530869
  • Filename
    6530869