DocumentCode :
299954
Title :
Assembly planning using case adaptation methods
Author :
Pu, Pearl ; Purvis, Lisa
Author_Institution :
Lab. d´´Intelligence Artificielle & Robotique, Swiss Federal Inst. of Technol., Lausanne, Switzerland
Volume :
1
fYear :
1995
fDate :
21-27 May 1995
Firstpage :
982
Abstract :
In our previous paper, we have shown that case-based reasoning (CBR) techniques can be used as a viable formulation for solving assembly sequence generation problems. The issues covered in that paper were case base organization, case selection and matching, and case indexing. The part on case adaptation was not addressed in a formal way to allow satisfactory generalization of the method to a large class of assembly planning problems. We present in this paper a methodology which formalizes the adaptation process of CBR using constraint satisfaction techniques. Combining CBR with constraint satisfaction provides a generalized formalism for assembly planning problem solving
Keywords :
adaptive systems; assembling; case-based reasoning; planning (artificial intelligence); problem solving; production control; assembly planning; case adaptation methods; case-based reasoning; constraint satisfaction; generalized formalism; problem solving; Assembly systems; Computer aided software engineering; Computer science; Indexing; OFDM modulation; Paper technology; Problem-solving; Robotic assembly; Search problems; Storms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 1995. Proceedings., 1995 IEEE International Conference on
Conference_Location :
Nagoya
ISSN :
1050-4729
Print_ISBN :
0-7803-1965-6
Type :
conf
DOI :
10.1109/ROBOT.1995.525410
Filename :
525410
Link To Document :
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