Skip to main content
Log in

Robotic inspection plan optimizationby case-based reasoning

  • Published:
Journal of Intelligent Manufacturing Aims and scope Submit manuscript

Abstract

Inspection planning is discussed in a framework where a rich choice of instruments is available and robots can also participate in the inspection process. The problem of constrained plan optimization is exposed, and a solution is suggested that is based on task grouping. After outlining the overall planning process, we give details of the optimization stage where case-based reasoning is applied. Finally, it will be shown how the implemented knowledge-based system can operate as a knowledge server.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Barrett, A. and Weld, D. S. (1994) Partial-order planning: eval-uating possible efficiency gains. Artificial Intelligence, 67, 71–112.

    Google Scholar 

  • Brown, C. W. (1990) IPPEX: An automated planning system for dimensional inspection, in Proceedings of 22nd CIRP Inter-national Seminar on Manufacturing Systems, 11–12 June 1990, Enschede, The Netherlands, pp. 1–11.

  • Champati, S., Lu, W. F. and Lin, A. C. (1996) Automated operation sequencing in intelligent process planning: a case-based approach. International Journal of Advanced Manu-facturing Technology, 12, 21–36.

    Google Scholar 

  • Eriksson, H. (1996) Expert systems as knowledge servers. IEEE Expert, July, 14–19.

  • Erol, K., Nau, D. and Subrahmanian, V. S. (1995) Complexity, decidability and undecidability results in domain-indepen-dent planning. Artificial Intelligence, 76, 75–88.

    Google Scholar 

  • Farago, F. T. and Curtis, M. A. (1994) Handbook of Dimensional Measurement, Industrial Press Inc., New York.

    Google Scholar 

  • Ge, Q., Chen, B., Smith, P. and Menq, C. H. (1992) Tolerance specification and comparative analysis for computer-inte-grated dimensional inspection. International Journal of Pro-duction Research, 30(9), 2173–2197.

    Google Scholar 

  • Gu, P. and Chan, K. (1996) Generative inspection process and probe path planning for coordinate measuring machines. Journal of Manufacturing Systems, 15(4), 240–255.

    Google Scholar 

  • Halevi, G. and Weill, R. D. (1995) Principles of Process Planning, Chapman & Hall, London.

    Google Scholar 

  • Horváth, M., Márkus, A. and Váncza, J. (1996) Process planning with genetic algorithms on results of knowledge-based rea-soning. International Journal of Computer Integrated Manu-facturing, 9(2), 145–166.

    Google Scholar 

  • Juster, N. P. (1992) Modelling and representation of dimensions and tolerances: a survey. Computer-Aided Design, 24(1), 3–17.

    Google Scholar 

  • Kambhampati, S., Knoblock, C. and Yang, Q. (1995) Planning as refinement search: a unified framework for evaluating design tradeoffs in partial-order planning. Artificial Intelligence, 76, 167–238.

    Google Scholar 

  • Kis, T. and Váncza, J. (1996) Computational complexity of manufacturing process planning, in New Directions in AI Planning, Ghallab, M. and Milani, A. (eds), IOS Press, Amsterdam.

    Google Scholar 

  • Kolodner, J. (1993) Case-Based Reasoning, Morgan Kaufmann, San Mateo, CA.

    Google Scholar 

  • Leake, B. D. (ed.) (1996) Case-Based Reasoning: Experiences, Lessons, and Future Directions, AAAI Press/MIT Press, Menlo Park, CA.

  • Merat, F. L. and Radack, G. M. (1992) Automatic inspection planning within a feature-based CAD system. Robotics and Computer Integrated Manufacturing, 9(1), 61–69.

    Google Scholar 

  • Miyashita K. and Sycara, K. (1995) CABINS: a framework of knowledge acquisition and iterative revision for schedule improvement and reactive repair. Artificial Intelligence, 76, 377–426.

    Google Scholar 

  • Váncza, J. and Márkus, A. (1996) Experiments with the integra-tion of reasoning, optimization and generalization in process planning. Advances in Engineering Sofware, 25(1), 29–39.

    Google Scholar 

  • Veloso, M. M, Muñoz-Avila, H. and Bergmann, R. (1996) Case-based planning: selected methods and systems. AI Commu-nications, 9(3), 128–137.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

VA´NCZA, J., HORVA´TH, M. & STANKO´CZI, Z. Robotic inspection plan optimizationby case-based reasoning. Journal of Intelligent Manufacturing 9, 181–188 (1998). https://doi.org/10.1023/A:1008828231525

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1008828231525

Navigation