Skip to main content

Review of Expert System and Its Application in Robotics

  • Conference paper
  • First Online:
Intelligent Communication, Control and Devices

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 624))

Abstract

A mechanical device or system, which can think and contemplate, observe, listen, walk, speak, and sense like a human, can be developed using a knowledge-based technique known as expert system. Expert system can be integrated with robotics to merge human intelligence with machines, so as to achieve smart work like that of humans by embedding features such as reasoning, knowledge/intelligence, and problem-solving capabilities. Methodologies implemented in expert systems have been surveyed in this paper along with the literature review related to the various applications of expert system in the field of robotics. This paper gives the literature reviews of articles with a keyword index and articles from different journals in order to explore the various applications of expert system. This paper also presents various types of expert system such as knowledge-based expert system rule and fuzzy-based expert system, characteristics and features of expert system and its advantages.

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

Access this chapter

Institutional subscriptions

References

  1. Meijer, G.R., Mai, T.L., Gaussens, E., Hertzberger, L.O., and Arlabosse F.: Robot Control with Procedural Expert System” In: Jordanides T., Torby B. (eds) Expert Systems and Robotics, 71, 217–232 (1991)

    Google Scholar 

  2. Zhuo, F.U., Wang, J.D., Li, Y.I.N.G. and Wang, J.: Control of an inspection robot for 110 KV power transmission lines based on expert system design models. Control Applications (2005)

    Google Scholar 

  3. Salunkhe, S., Hussein, S.K. and Hussein, M.A.: An Expert system for automation design of compound dies. AI Applications in Sheet Metal Forming: Part of the series topics in mining, metallurgy and materials engineering, 183–216. (2016)

    Google Scholar 

  4. Dunstan, N.: Generating domain-specific web-based expert systems” Expert Systems with Applications, 35, 686–690 (2008)

    Google Scholar 

  5. Amin, S.M., Ibrahim, K.H., Naggar, A.S., Rashwan, A.N., Sadek, A.E., AbdelGalil, M.A. and Badawi, A.H.: Parameterized Experience Exchange in Expert – Fellow Swarm Robotic System, Controller Performance Context. AIAA Information Systems, Texas, 1066, 1–7 (2017)

    Google Scholar 

  6. Giarratano, J.C. and Riley, G.D.: Expert system: principles and programming. 4th edition, Thomas learning, UK (2004)

    Google Scholar 

  7. Kishan, B., Chadha, V. and Maini, C.: A review of development and applications of expert system. International journal of advanced research in computer science and software engineering, 2(10), 319–325 (2012)

    Google Scholar 

  8. Morales, M. and Savage, J.: Motion control of a mobile robot using an expert system and artificial neural network. Parasol lab, technical report (1994)

    Google Scholar 

  9. Gardone, B.A. and Ragade, R.K.: IREX: an expert system for the selection of industrial robots and its implementation in two environments. IEA/AIE ‘90 Proceedings of the 3rd international conference on Industrial and engineering applications of artificial intelligence and expert systems, 2, 1086–1095 (1990)

    Google Scholar 

  10. Edward, F.A. Pamela, M.C.: The fifth generation: Artificial Intelligence and Japan’s Computer Challenge to the world. Addison-Wesley Publication Computer, 1st Edition (1983)

    Google Scholar 

  11. Rai, L. and Hong, J.: Conceptual framework for knowledge based decision migration in multi-component robot. International Journal Of Advanced Robotics System, 10(5), 237–249 (2013)

    Google Scholar 

  12. Omran M.G.H., Salman A., Engelbrecht, A.P.: Self-adaptive Differential Evolution. Computational Intelligence and Security CIS 2005, Lecture Notes in Computer Science, vol 3801, Springer edition, 192–199 (2005)

    Google Scholar 

  13. Kishore, R. and Thomas, A.: Effectiveness index of expert system applications in agriculture. International Journal of Agriculture, Environment and Biotechnology, 9(1), 117–121 (2016)

    Google Scholar 

  14. Liao, S.H.: Expert system methodologies and applications- a decade review from 1995–2004. Expert system with applications, 28(1), 91–103 (2004)

    Google Scholar 

  15. Khattak, S.B., Akhtar, R., Hussain, I., Ullah, M., Maqsood, S., and Haq, I.U.: Expert System for Lean Manufacturing at Tobacco Industry. Technical Journal of University of Engineering and technology, 21(1), 104–109 (2016)

    Google Scholar 

  16. Mutambara, A.G.O. and Litt, J.: A framework for a supervisory Expert system for robotic manipulators with joint position Limits and joint rate limits. NASA centre for aerospace information, Technical Report (1998)

    Google Scholar 

  17. Grafflin, C.P., Alunni, N., Suay, H.B., Mainprice, J., Lofaro, D., Berenson, D., Chernova, S., Lindeman, R.W. and Oh, P.: Toward a user-guided manipulation framework for high-DOF robots with limited communication. Intelligent Service Robotics, 7(3), 121–131 (2014)

    Google Scholar 

  18. Alma, Z., Torgyn, M., Marzhan, M. and Kanat, N.: The Methodology of Expert Systems Kantureeva Mansiya. IJCSNS International Journal of Computer Science and Network Security, 14(2), 62–66 (2014)

    Google Scholar 

  19. Wiig, K.M.: Knowledge management the central management focuses for intelligent-acting organization. Arlingston Schema press, 1, (1994)

    Google Scholar 

  20. Dhaliwal, J.S. and Benbasat, I.: The use and effects of knowledge based system explanations: theoretical foundations and a framework for empirical evaluation. Information Systems Research, 7, 342–362 (1996)

    Google Scholar 

  21. Djeda, L. and Borenstein, J.: FLEXnav: Fuzzy logic expert rule based position estimation for mobile robots on rugged terrain. International Conference on Robotics and Automation, 10, 317–324 (2001)

    Google Scholar 

  22. Jamshidi, M.A., Titli, A., Zadeh, L. and Boverie, S.: Applications of Fuzzy logic: towards high machine intelligence quotient systems. Upper Saddle River. N.J. Prentice Hall (1997)

    Google Scholar 

  23. Popescu, D. and Zhang, J.: A fuzzy expert system for range estimation. Studies in information and control, 10, 1–11(2001)

    Google Scholar 

  24. Tudar, L. and Moise, A.: Automatic expert system for Fuzzy control of robot trajectory in joint space. International Conference on Mechatronics and Automation, 1057–1062 (2013)

    Google Scholar 

  25. Tian, J., Gao, M. and He, Y.: Intelligent control of welding gun pose for pipeline welding robot based on improved radial basis function network and expert system. International Journal Of Advanced Robotics Systems, 10, 1–8 (2013)

    Google Scholar 

  26. Waterman, D. A.: A Guide to Expert Systems. Addison-Wesley Publishing Company, Inc. (1986)

    Google Scholar 

  27. Kumar, Y. and Jain, Y.: Research aspects of expert system. International Journal of Computing and Business Research, 23–29 (2013)

    Google Scholar 

  28. Ali, S.A., Ghaffari, M., Liao, L. and Hall, E.: Mobile robotics moving intelligence. In book, Mobile Robots Moving Intelligence, Germany (2006)

    Google Scholar 

  29. Correal, R., Pajares, G. and Ruz, J.J.: Automatic expert system for 3D terrain reconstruction based on stereo vision and histogram matching. Expert Systems with Applications, 14, 2043–2051 (2014)

    Google Scholar 

  30. Bhatia, P., Thirunarayanan, J. and Dave, N.: An expert system based design of SCARA robot. Expert systems with applications, 15(1), 99–109 (1998)

    Google Scholar 

  31. Berenson, D., Abbeel, P. and Goldberg, K.: A Robot Path Planning Framework that Learns from Experience. 2012 IEEE International Conference on Robotics and Automation (2012)

    Google Scholar 

  32. Hübner T. and Hörmann K.: A Model-Based Expert System for the Diagnosis of Faults in a Robot System for Cleaning Castings. In: Jordanides T., Torby B. (eds) Expert Systems and Robotics, 71, 655–661 (1991)

    Google Scholar 

  33. Visinsky, M.L., Cavallaro, J.R. and Walker, I.O.: Expert system framework for fault tolerance in robotics. Computers and Electronics Engineering, 20(5), 421–435, (1994)

    Google Scholar 

  34. Petterson, O.: Execution monitoring in robotics- A survey. Robotics and automation system, 53(2), 73–88 (2005)

    Google Scholar 

  35. Christensen, H.I., Pirjanian, P.: Theoretical methods for planning and control in mobile robotics. 1st International Conference On Knowledge Based Intelligent Electronic Systems, 81–86 (1997)

    Google Scholar 

  36. Sanders, D.A., Jones, L.G. and Gegov, A.: Improving ability of tele-operators to complete progressively more difficult mobile robot paths using simple expert systems and ultrasonic sensors. An International Journal of Industrial Robot, 37(5), 431–440 (2010)

    Google Scholar 

  37. Sen, M.D.L., Minambres, J.J., Gaeride, A.J., Almania, A. and Soto, J.C.: Basic theoretical results for expert systems: Application to the supervision of adaptation transients in planar robots. Artificial Intelligence, 152(2), 173–211, (2004)

    Google Scholar 

  38. Savege, J., Lareva, A.L., Carrera, G., Cuellar, S., Esparza, D., Minami, Y. and Penuelas, U.: Virbot: A system for the operation of mobile robots. Robocup 2007: robot soccer, world cup XI, 5001, 512–519 (2008)

    Google Scholar 

  39. Schiffer, S., Ferrein, A. and Lakemeyer, G.: Caesar: an intelligent domestic service robot. Intelligent Service Robotics, 5(4), 259–273 (2012)

    Google Scholar 

  40. Ming, Z., Maoxiang, S.S., Yanhong, W. and Chaowan, Y.: Decentralized self-decision planning system for multiple intelligent mobile robots. IEEE International Conference on Intelligent Processing System, 2, 1385–1389 (1997)

    Google Scholar 

  41. Ludan, W., Hongguang, W., Lijin, F. and Mingyang, Z.: Research on obstacle-navigation control of a mobile robot for inspection of the power transmission lines based on expert system. Climbing and Walking Robots springer edition, 173–180 (2006)

    Google Scholar 

  42. Kaldested, K.B., Hovland, G. and Anisi, D.A.: CAD based training of an expert system and a hidden makov model for obstacle detection in an industrial robot environment. International Federation of automatic control, 45(8), 53–58 (2012)

    Google Scholar 

  43. Chew M., Issa G.F., and Shen S.N.T.: Expert System for Robot Hand Design Using Graph Representation. In: Dwivedi S.N., Verma A.K., Sneckenberger J.E. (eds) CAD/CAM Robotics and Factories of the Future’90, 466–471 (1991)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Divya Agarwal .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Singholi, A.K.S., Agarwal, D. (2018). Review of Expert System and Its Application in Robotics. In: Singh, R., Choudhury, S., Gehlot, A. (eds) Intelligent Communication, Control and Devices. Advances in Intelligent Systems and Computing, vol 624. Springer, Singapore. https://doi.org/10.1007/978-981-10-5903-2_131

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-5903-2_131

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5902-5

  • Online ISBN: 978-981-10-5903-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics