Knowledge-based intelligent diagnosis of ground robot collision with non detectable obstacles

Journal of Intelligent and Robotic Systems: Theory and Applications

Volumn 48, Issue 4, 2007, Pages 539-566

  Alonso, José M ^a   Magdalena, Luis ^a,b   Guillaume, Serge ^c   Sotelo, Miguel A ^d   Bergasa, Luis M ^d   Ocaña, Manuel ^d   Flores, Ramón ^d  

^a UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

^b EUROPEAN CENTRE FOR SOFT COMPUTING   (Spain)

^c CEMAGREF   (France)

^d UNIVERSITY OF ALCALÁ   (Spain)

Author keywords

Accuracy interpretability tradeoff; Expert and induced knowledge; Fuzzy logic; Mobile robot

Indexed keywords

FUZZY SETS; INTELLIGENT SYSTEMS; KNOWLEDGE BASED SYSTEMS; MOBILE ROBOTS; MOTION CONTROL; PROBLEM SOLVING;

ACCURACY-INTERPRETABILITY TRADEOFF; EXPERT AND INDUCED KNOWLEDGE; ULTRASOUND SENSORS;

COLLISION AVOIDANCE;

EID: 33947124695     PISSN: 09210296     EISSN: 15730409     Source Type: Journal    
DOI: 10.1007/s10846-006-9125-6     Document Type: Article

References (33)

1. Aguirre, E., Gonzalez, A: Fuzzy behaviors for mobile robot navigation: design, coordination and fusion. Int. J. Approx. Reason. 25(3), 255-289 (2000 November)
2. Alonso, J.M., Guillaume, S., Magdalena, L.: Kbct: A knowledge management tool for fuzzy inference systems, http://www.mat.upm.es/projects/advocate/kbct. htm. (2003)
3. Carmona, P., Castro, J.L., Zurita, J.M.: Strategies to identify fuzzy rules directly from certainty degrees: a comparison and a proposal. IEEE Trans. Fuzzy Syst. 12(5), 631-640 (2004 October)
4. Casillas, J., Cordon, O., Herrera, F., Magdalena, L.: Interpretability Issues in Fuzzy Modeling, volume.128 of Studies in Fuzziness and Soft Computing. Springer, Berlin Heidelberg New York (2003)
5. de Oliveira, J.V.: Semantic constraints for membership functions optimization. IEEE Trans. Syst. Man Cybernet., Part A 29(1), 128-138 (1999)
6. Demirli, K., Türksen, LB.: Sonar based mobile robot localization by using fuzzy triangulation. Robot. Autonom. Syst. 2-3(33), 109-123 (2000 November)
7. Duan, Z.-H., Cai, Z.-X., Yu, J.-X.: Fault diagnosis and fault tolerant control for wheeled mobile robots under unknown environments: a survey. In: IEEE International Conference on Robotics and Automotion. Barcelona, Spain, (2005 April)
8. Espinosa, J., Vandewalle, J.: Constructing fuzzy models with linguistic integrity from numerical data-afreli algorithm. IEEE Trans. Fuzzy Syst. 8(5), 591-600 (2000 October)
9. Fraichard, T., Gamier, P.: Fuzzy control to drive car-like vehicles. Robot. Autonom. Syst. 34(1), 1-22 (2001 January)
10. Fukuda, T., Kubota, N.: An intelligent robotic system based on a fuzzy approach. Proc. IEEE 87(9), 1448-1470 (1999 September)
11. Garibaldi, J.M., Musikasuwan, S., Ozen, T., John, R.I.: A case study to illustrate the use of nonconvex membership functions for linguistic terms. In: FUZZ-IEEE 2004, vol. 3, pp. 1403-1408, Budapest, Hungary, (July 25-29, 2004)
12. Glorennec, P.-Y.: Algorithmes d'apprentissage pour systèmes d'inférence floue. Editions Hermès, Paris, (1999)
13. Gómez-Bravo, F., Cuesta, F., Ollero, A.: Parallel and diagonal parking in nonholonomic autonomous vehicles. Eng. Appl. Artif. Intel. 14(4), 419-434 (2001 August)
14. Guillaume, S: Designing fuzzy inference systems from data: an interpretability-oriented review. IEEE Trans. Fuzzy Syst. 9(3), 426-443 (2001 June)
15. Guillaume, S., Charnomordic, B.: Generating an interprétable family of fuzzy partitions. IEEE Trans. Fuzzy Syst. 12(3), 324-335 (2004 June)
16. Guillaume, S., Magdalena, L.: An or and not implementation that improves linguistic rule interpretability. In: Eleventh International Fuzzy Systems Association World Congress, vol. I, pp. 88-92, Beijing, China, (2005 July)
17. Guillaume, S., Magdalena, L.: Expert guided integration of induced knowledge into a fuzzy knowledge base. Soft Comput. - A Fusion Foundations Methodol. Appl. 10(9), 773-784 (2006 July)
18. Hüllermeier, E.: Fuzzy methods in machine learning and data mining: status and prospects. Fuzzy Set Syst 156, 387-406 (2005)
19. Isermann, R.: On fuzzy logic applications for automatic control, supervision, and fault diagnosis. IEEE Trans. Syst. Man Cybernet. Part A Syst. Human. 28(2), 221-235 (1998 March)
20. Jetto, L., Longhi, S., Vitali, D.: Localization of a wheeled mobile robot by sensor data fusion based on a fuzzy logic adapted kalman filter. Control Eng. Prac. 7(6), 763-771 (1999 June)
21. Joentgen, A., Mikenina, I.,., Weber, R., Zeugner, A., Zimmermann, H.J.: Automatic fault detection in gearboxes by dynamic fuzzy data analysis. Fuzzy Set Syst. 105(1), 123-132 (1999)
22. Kodagoda, K., Wijesoma, W., Teoh, E.: Fuzzy speed and steering control of an agv. IEEE Trans. Control Syst. Tech. 10(1), 112-120 (2002 January)
23. Maaref, H., Barret, C.: Sensor-based fuzzy navigation of an autonomous mobile robot in an indoor environment. Control Eng. Prac. 8(7), 757-768 (2000 July)
24. Mamdani, E.H., Assilian, S.: An experiment in linguistic synthesis with a fuzzy logic controller. Int. J. Man-Machine Stud. 7, 1-13 (1975)
25. Mohan, N., Undeland, T.M., Robbins, W.P.: Power Electronics: Converters, Applications, and Design. John Wiley & Sons, Inc., (1989)
26. Ruspini, E.H.: A new approach to clustering. Inf. Control 15, 22-32 (1969)
27. Soliman, A., Rizzoni, G., Kim, Y.W.: Diagnosis of an automotive emission control system using fuzzy inference. Control Eng. Prac. 7(2), 209-216 (1999 February)
28. Sotelo, M.A., Bergasa, L.M., Flores, R., Ocaña, M., Doussin, M.-H., Magdalena, L., Hornfeld, W., Perrier, M., Madsen, A.L., Furlani, A., Roland, D.: ADVOCATE II: ADVanced Onboard diagnosis and Control of Autonomous sysTEms II. In: Ninth International Conference on Computer Aided Systems Theory. Las Palmas de Gran Canaria, Spain, (2003 February)
29. Steinberg, A.N., Bowman, C.L., White, F.E.: Revisions to the jdl data fusion model. Sensor Fusion: Architectures, Algorithms, and Applications, Proceedings of the SPIE 3719 (1999)
30. Takagi, T., Sugeno, M.: Fuzzy identification of systems and its applications to modeling and control. IEEE Trans. System Man Cybernet. 15, 116-132 (1985)
31. Wang, L.-X., Mendel, J.M.: Fuzzy basis functions, universal approximation, and orthogonal least squares learning. IEEE Trans. Neural Net. 3, 807-814 (1992)
32. White, F.E.: A model for data fusion. In: First National Symposium on Sensor Fusion, (1988)
33. Zadeh, L.A.: Fuzzy sets. Inf. Control 8, 338-353 (1965)