DocumentCode
638437
Title
Path planning of free-flying space robot using memetic algorithm
Author
Jin Feihu
Author_Institution
Dept. of Comput. Sci. & Technol., Harbin Univ. of Sci. & Technol., Harbin, China
Volume
2
fYear
2013
fDate
June 28 2013-July 1 2013
Firstpage
19
Lastpage
22
Abstract
Obstacle avoidance path planning of free-flying space robot is realized by using memetic algorithm. The memetic algorithm in this paper adopts genetic algorithm as global search and simulated annealing algorithm as local search, not only can find an optimal path but also can avoid obstacles safely. This method can find better results quickly and avoid falling into local minima. The algorithm was implemented with computer simulation and achieved good results.
Keywords
aerospace robotics; collision avoidance; genetic algorithms; search problems; simulated annealing; computer simulation; free-flying space robot; genetic algorithm; global search algorithm; local minima; local search; memetic algorithm; obstacle avoidance path planning; simulated annealing algorithm; Annealing; Optimization; Robots; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Strategic Technology (IFOST), 2013 8th International Forum on
Conference_Location
Ulaanbaatar
Print_ISBN
978-1-4799-0931-5
Type
conf
DOI
10.1109/IFOST.2013.6616889
Filename
6616889
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