Abstract
The maturity level of an automated manufacturing system can be measured by the failure-recovery capability of the system. This paper addresses the unique characteristics of failure-recovery problems in manufacturing cells, suggests a framework to cope with the problems, and presents a recovery strategy. Opportunistic and incremental problem-solving concepts of a blackboard architecture are adopted for building the framework. A case-based strategy has been developed, which uses both heuristic knowledge and historical information to resolve the cause of failures in diverse situations. An example of tool breakage is presented which illustrates the concepts of the above-mentioned framework and strategy. Prototype software has been implemented in the object-oriented language Smalltalk-80 for this purpose.
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References
S. Srinivas, “Error recovery in robot systems”, Ph.D. thesis, California Institute of Technology, 1977.
S. Srinivas, “Error recovery in robots through failure reason analysis”,Proceedings of National Computer Conference, Anaheim, California, pp. 275–82, 1978.
M. Gini, R. Doshi, M. Gluch, R. Smith and I. Zualkernan, “The role of knowledge in the architecture of a robust robot control”,Proceedings of IEEE International Conference on Robotics and Automation, St. Louis, Missouri, pp. 561–7, 1985.
M. Gini and G. Gini, “Toward automatic error recovery in robot programs”,Proceedings of the Eighth International Joint Conference on Artificial Intelligence, Karlsruhe, West Germany, pp. 821–3, 1983.
G. Gini, M. Gini and M. Somalvico, “Emergency recovery in intelligent robots”,Proceedings of the Fifth International Symposium on Industrial Robots, Chicago, Illinois, 339–58, 1975.
M. Gini, R. Doshi, S. Garber, M. Gluch, R. Smith and I. Zualkerman, “Symbolic reasoning as a basis for automatic error recovery in robots”,Technical Report 85-24, University of Minnesota, July 1985.
M. Gini and R. Smith, “Reliable real-time robot operation employing intelligent forward recovery”,Technical Report 85-30, University of Minnesota, September 1985.
R. E. Smith and M. Gini, “Robot tracking and control issues in an intelligent error recovery system”,Proceedings of IEEE International Conference on Robotics and Automation, pp. 1070-5, 1986.
M. H. Lee, N. W. Hardy and D. P. Barnes, “Error recovery in robot applications”,Proceedings of the Sixth British Robot Association, Birmingham, UK, pp. 217–22, 1983.
M. H. Lee, D. P. Barnes and N. W. Hardy, “Knowledge based error recovery in industrial robots”,Proceedings of the Eighth International Joint Conference on Artificial Intelligence, Karlsruhe, West Germany, pp. 824–6, 1983.
M. Boyer and L. K. Daneshmend, “An expert system for robot error recovery”,Technical Report CIM-87-18, McGill University, October 1987.
D. A. Bournes, “CML: a meta-interpreter for manufacturing”,The AI Magazine, pp. 86–96, 1986.
B. Hayes-Roth, “A blackboard architecture for control”,Artificial Intelligence, 26, pp. 251–321. 1985.
C. K. Garg, “Development of a methodology for knowledge elicitation for building expert systems”, PhD thesis, Purdue University, 1987.
Y. B. Moon, “A framework for failure recovery of automated manufacturing cell components”, PhD thesis, Purdue University, 1988.
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Moon, Y.B., Moodie, C.L. A framework for failure recovery in a manufacturing cell. Int J Adv Manuf Technol 4, 144–156 (1989). https://doi.org/10.1007/BF02601516
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DOI: https://doi.org/10.1007/BF02601516