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
Link To Document :
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