DocumentCode
536479
Title
Soft Computing Technique for Simultaneous Localization and Mapping of Mobile Robots
Author
Zhang, Hongmin ; Dai, Xuefeng
Author_Institution
Sci. Inst., Qiqihar Univ., Qiqihar, China
fYear
2010
fDate
7-9 Nov. 2010
Firstpage
1
Lastpage
4
Abstract
Because traditional approaches for solving the simultaneous localization and map building (SLAM) problem have the limitation of computational complexity, imprecision of filter algorithm and fragile data association, soft computing technique has been used to solve the problem. In this paper, we reviewed the state of the art of the application of evolutionary algorithm, fuzzy logic and neural networks in SLAM.
Keywords
SLAM (robots); computational complexity; evolutionary computation; fuzzy logic; mobile robots; neural nets; SLAM; computational complexity; evolutionary algorithm; filter algorithm; fragile data association; fuzzy logic; mobile robot; neural network; simultaneous localization and mapping; soft computing technique; Artificial neural networks; Evolutionary computation; Fuzzy logic; Mobile robots; Optimization; Simultaneous localization and mapping;
fLanguage
English
Publisher
ieee
Conference_Titel
E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
Conference_Location
Henan
Print_ISBN
978-1-4244-7159-1
Type
conf
DOI
10.1109/ICEEE.2010.5660174
Filename
5660174
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