Fuzzy expert system in robotic assembly workcell

Author

Li Kang ; Qian Wenhan

Author_Institution

Res. Inst. of Robotics, Shanghai Jiaotong Univ., China

Volume

2

fYear

1993

fDate

19-21 Oct. 1993

Firstpage

738

Abstract

Addresses how a fuzzy expert system is employed in a robotic assembly workcell for the purpose of intelligent monitoring. A formal framework based on fuzzy set theory for the representation of workcell knowledge has been developed. The approximate reasoning technique using fuzzy logic theory is described, and its applications in robotic error diagnosis and error recovery is illustrated. Workcell error knowledge is represented in the form of relationships between combinations of errors and diagnostic causes. It has been demonstrated that the introduction of fuzzy concepts into expert systems is highly desirable, and the result is more powerful than traditional systems.<>

Keywords

assembling; computerised monitoring; diagnostic expert systems; fuzzy logic; fuzzy set theory; industrial robots; knowledge representation; uncertainty handling; approximate reasoning technique; diagnostic causes; error recovery; formal framework; fuzzy expert system; fuzzy logic theory; fuzzy set theory; intelligent monitoring; robotic assembly workcell; robotic error diagnosis; workcell error knowledge; workcell knowledge representation; Artificial intelligence; Diagnostic expert systems; Fuzzy systems; Hybrid intelligent systems; Intelligent robots; Monitoring; Robot sensing systems; Robotic assembly; Robotics and automation; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on

Conference_Location

Beijing, China

Print_ISBN

0-7803-1233-3

Type

conf

DOI

10.1109/TENCON.1993.320081

Filename

320081