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
Link To Document :
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