Research on optimal number of joints and lengths of multi-jointed robot arm

Hyeongjun Kim, Hiroshi Ymakawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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. At first a function is taken only to reduce energy for a simple and typical example. Next, another optimal problem is formulated by multi-objective functions minimizing the driving energy and maximizing the 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.

Original languageEnglish
Title of host publication12th AIAA Aviation Technology, Integration and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference
Publication statusPublished - 2012
Event12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference - Indianapolis, IN
Duration: 2012 Sep 172012 Sep 19

Other

Other12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference
CityIndianapolis, IN
Period12/9/1712/9/19

Keywords

  • Genetic algorithm
  • Multi-Jointed Robot Arm
  • Multi-objective optimization

ASJC Scopus subject areas

  • Aerospace Engineering
  • Mechanical Engineering

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  • Cite this

    Kim, H., & Ymakawa, H. (2012). Research on optimal number of joints and lengths of multi-jointed robot arm. In 12th AIAA Aviation Technology, Integration and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference