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