DocumentCode :
309465
Title :
Tracking navigation using fuzzy inference and sonar-based obstacle avoidance
Author :
Ji, S.H. ; Kwon, S.K. ; Kim, H.T. ; Park, MiQnOn
Author_Institution :
Dept. of Electron. Eng., Yonsei Univ., South Korea
Volume :
2
fYear :
1993
fDate :
26-30 Jul 1993
Firstpage :
898
Abstract :
Autonomous mobile robots can be used in many applications, such as working in dangerous environments instead of human beings. If two or more robots are used, they should work cooperatively to accomplish their job. When two mobile robots move cooperatively, one should be able to track the other. A sonar-based environment recognition AND obstacle avoidance method for the cooperative motion of two mobile robots is suggested and simulated. For this map generation, communication between the mobile robots is also used
Keywords :
mobile robots; autonomous mobile robots; cooperative motion; dangerous environments; fuzzy inference; map generation; obstacle avoidance method; sonar-based environment recognition; sonar-based obstacle avoidance; tracking navigations; Humans; Infrared sensors; Input variables; Light emitting diodes; Master-slave; Mobile robots; Navigation; Robot sensing systems; Tracking; Ultrasonic variables measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems '93, IROS '93. Proceedings of the 1993 IEEE/RSJ International Conference on
Conference_Location :
Yokohama
Print_ISBN :
0-7803-0823-9
Type :
conf
DOI :
10.1109/IROS.1993.583245
Filename :
583245
Link To Document :
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