Fuzzy matching for robot localization

Qing Tan, Masayuki Akimoto

Research output: Contribution to conferencePaperpeer-review

Abstract

A fuzzy pattern matching algorithm is presented in this paper. This algorithm is employed to recognize landmarks placed in a robot working environment. A robot localization system with a map-based-navigation is designed by applying the fuzzy pattern matching algorithm. The robot localization will have a reliable robot vision system since robustness of this algorithm. Using this algorithm for pattern recognition, an input pattern, a landmark in the robot working environment, will always find a match with its prototype pattern, which is represented a location in the robot map.

Original languageEnglish
Pages1165-1170
Number of pages6
Publication statusPublished - 1996
EventProceedings of the 1996 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS. Part 3 (of 3) - Osaka, Jpn
Duration: 4 Nov. 19968 Nov. 1996

Conference

ConferenceProceedings of the 1996 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS. Part 3 (of 3)
CityOsaka, Jpn
Period4/11/968/11/96

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