DocumentCode :
2669901
Title :
Motion planning for multiple obstacles avoidance of autonomous mobile robot using hierarchical fuzzy rules
Author :
Aoki, Takeshi ; Matsuno, Moriyasu ; Suzuki, Tatsuya ; Okuma, Shigeru
Author_Institution :
Nagoya Municipal Ind. Res. Inst., Japan
fYear :
1994
fDate :
2-5 Oct 1994
Firstpage :
265
Lastpage :
271
Abstract :
This paper presents the motion planning for an autonomous mobile robot to move toward the goal avoiding multiple moving obstacles. The autonomous robot can control itself with both velocity and steering controls decided by the fuzzy algorithm. The algorithm has a hierarchical structure which consists of three levels involving fuzzy logic modules. In the lower level of the algorithm, the control inputs of velocity and steering are decided independently. In the middle level, the module called fuzzy balancer adjusts and combines these inputs in order not to conflict each other. In the upper level, the control input to the goal and multicontrol inputs for multiple obstacles are combined to achieve the desired motion. In this paper, we propose the algorithm of hierarchical fuzzy rules and show the simulation results
Keywords :
fuzzy control; fuzzy logic; intelligent control; mobile robots; navigation; path planning; position control; autonomous mobile robot; fuzzy balancer; fuzzy logic modules; hierarchical fuzzy rules; hierarchical structure; motion planning; multiple obstacles avoidance; steering control; Control systems; Fuzzy control; Logic; Mobile robots; Motion control; Motion planning; Open systems; Proportional control; Robot control; Velocity control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multisensor Fusion and Integration for Intelligent Systems, 1994. IEEE International Conference on MFI '94.
Conference_Location :
Las Vegas, NV
Print_ISBN :
0-7803-2072-7
Type :
conf
DOI :
10.1109/MFI.1994.398454
Filename :
398454
Link To Document :
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