DocumentCode
3347915
Title
Real-time monitoring and diagnosing of robotic assembly with self-organizing neural maps
Author
Syed, A. ; ElMaraghy, H.A. ; Chagneux, N.
Author_Institution
Flexible Manuf. Centre, McMaster Univ., Hamilton, Ont., Canada
fYear
1992
fDate
2-4 Dec 1992
Firstpage
271
Lastpage
274
Abstract
An application of self-organizing neural-network maps is presented for real-time execution monitoring and diagnosing of robotic assembly. The self-organizing maps not only have the ability to spontaneously react to changes in dynamic assembly processes, but also to offer simplicity and feasibility for organizing diverse assembly interactions between tools, parts, robot, and sensory data. A number of different types of multidimensional maps are described for various combinations of assembly interactions
Keywords
assembling; computerised control; computerised monitoring; industrial robots; real-time systems; self-organising feature maps; dynamic assembly processes; real-time diagnosis; real-time execution monitoring; real-time monitoring; robotic assembly; self-organizing neural maps; Flexible manufacturing systems; Force sensors; Monitoring; Robot sensing systems; Robot vision systems; Robotic assembly; Tactile sensors; Time factors; Topology; Torque;
fLanguage
English
Publisher
ieee
Conference_Titel
Real-Time Systems Symposium, 1992
Conference_Location
Phoenix, AZ
Print_ISBN
0-8186-3195-3
Type
conf
DOI
10.1109/REAL.1992.242653
Filename
242653
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