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
Link To Document :
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