DocumentCode
2799379
Title
Genetic algorithm based path planning of coordinated multi-robot manipulators
Author
Sheng, Gao ; Jie, Zhao ; Hegao, Cai
Author_Institution
Robot Res. Inst., Harbin Inst. of Technol., China
Volume
2
fYear
2003
fDate
8-13 Oct. 2003
Firstpage
763
Abstract
The path planning of coordinated multi-robot is a complicated problem, which involves the valid search in a high-dimension space. In terms of concrete operation situations, two types of operation of loose coordination and tight coordination of multi-robot manipulators are analyzed in detail, respectively. Furthermore, the varying length string and the fitness evaluation of GA are also discussed. Finally, two types of representative coordination cases are given to validate the proposed approach.
Keywords
collision avoidance; genetic algorithms; manipulators; multi-robot systems; collision avoidance; concrete operation situations; coordinated multirobot manipulators; fitness evaluation; genetic algorithm; high dimension space; length string; loose coordination; path planning; representative coordination; tight coordination; Concrete; Degradation; Genetic algorithms; Manipulator dynamics; Mobile robots; Orbital robotics; Path planning; Productivity; Robot kinematics; Space technology;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics, Intelligent Systems and Signal Processing, 2003. Proceedings. 2003 IEEE International Conference on
Print_ISBN
0-7803-7925-X
Type
conf
DOI
10.1109/RISSP.2003.1285681
Filename
1285681
Link To Document