Fuzzy motion planning using the Takagi-Sugeno method

Author

Walker, Kamilah ; Esterline, Albert C.

Author_Institution

Dept. of Comput. Sci., North Carolina A&T State Univ., Greensboro, NC, USA

fYear

2000

fDate

2000

Firstpage

56

Lastpage

59

Abstract

The goal of this project is to examine an agent´s environment in order to maximize its path planning strategy. Presented is the application of fuzzy logic concepts to the area of robot motion planning. Specifically, the approximate cell decomposition strategy is utilized because it includes some similar characteristics found in fuzzy systems. Notably, the use of linguistic variables, membership functions, and fuzzy spatial logic are topics which provide a basis in examining the usefulness of applying fuzzy logic to the area of motion planning

Keywords

fuzzy logic; intelligent control; path planning; robots; Takagi-Sugeno method; agent´s environment; approximate cell decomposition strategy; fuzzy logic concepts; fuzzy motion planning; fuzzy spatial logic; linguistic variables; membership functions; path planning strategy; Application software; Computer science; Fuzzy logic; Intelligent agent; Intelligent sensors; Motion planning; Path planning; Process planning; Robot motion; Takagi-Sugeno model;

fLanguage

English

Publisher

ieee

Conference_Titel

Southeastcon 2000. Proceedings of the IEEE

Conference_Location

Nashville, TN

Print_ISBN

0-7803-6312-4

Type

conf

DOI

10.1109/SECON.2000.845425

Filename

845425