DocumentCode :
620206
Title :
Multi-goal path planning algorithm for mobile robots in grid space
Author :
Liu Hongyun ; Jiang Xiao ; Ju Hehua
Author_Institution :
Beijing Univ. of Technol., Beijing, China
fYear :
2013
fDate :
25-27 May 2013
Firstpage :
2872
Lastpage :
2876
Abstract :
In accordance with the problem which ingle target path planning is difficult to simulate the complex real world, this paper presents a new multi-goal path planning method based on grid map for planetary exploration, which designs and realizes the corresponding branch-detected algorithm and heuristic algorithm to solve the local optimal path planning and TSP, eventually reach the target state. The theoretical proof and simulation results show that this algorithm can successfully solve path planning with multi-goal and with a good performance at the same time.
Keywords :
mobile robots; path planning; travelling salesman problems; TSP; branch detected algorithm; grid space; heuristic algorithm; local optimal path planning; mobile robots; multigoal path planning algorithm; multigoal path planning method; planetary exploration; Algorithm design and analysis; Arrays; Heuristic algorithms; Path planning; Planning; Time complexity; Traveling salesman problems; Branch-Detected; Multi-Goals; Path Planning; TSP;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
Type :
conf
DOI :
10.1109/CCDC.2013.6561435
Filename :
6561435
Link To Document :
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