Intelligent sensor fusion and learning for autonomous robot navigation

Applied Artificial Intelligence

Volumn 19, Issue 5, 2005, Pages 433-456

  Tan, K C ^a   Chen, Y J ^a   Wang, L F ^a   Liu, D K ^b  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

Author keywords

Data fusion; Engineering applications; Fuzzy control; Robotics

Indexed keywords

FUNCTIONS; FUZZY CONTROL; INTELLIGENT AGENTS; LEARNING SYSTEMS; MOTION PLANNING; NAVIGATION; OBJECT RECOGNITION; ROBOTICS; SENSOR DATA FUSION;

INTELLIGENT SENSOR FUSION; MULTI-STAGE FUZZY LOGIC (MSFL); ROBOT NAVIGATION; TARGET COLLECTION;

ROBOTS;

EID: 17844390151     PISSN: 08839514     EISSN: None     Source Type: Journal    
DOI: 10.1080/08839510590901930     Document Type: Article

References (28)

1. Abdulghafour, M., T. Chandra, and M. A. Abidi. 1993. Data fusion through fuzzy logic applied to feature extraction from multi-sensory images. IEEE Trans. on Robotics and Automation. 2:359-366.
2. Ayache, N. and O. Fangeras. 1989. Maintaining representations of the environment of a mobile robot. IEEE Trans. Robotic and Automation. 5:804-819.
3. Brooks, R. A. 1986. A robust layered control system for a mobile robot. IEEE Journal of Robotics and Automation. 2(1):14-23.
4. Brooks, R. A. 1991. Intelligence without representation. Artificial Intelligence. 47(1-3):139-159.
5. Conway, J. H. 1971. Regular Algebra and Finite Machines. London: Chapman & Hall.
6. Cox, E. 1998. The Fuzzy Systems Handbook: A Practitioner's Guide to Building, Using, and Maintaining Fuzzy Systems, 2nd edition, Boston: AP Professional.
7. Cyberbotics Corp, Webots User Guide, http://www.cyberbotics.com.
8. Delcroix, C. J. and M. A. Abidi. 1988. In: Paul S. Schenker (ed.), Proceedings of SPIE, vol. 1003, Sensor Fusion: Spatial Reasoning and Scene Interpretation, pages 145-15.
9. Jennings, N. R., K. Sycara, and M. Wooldridge. 1998. A roadmap of agent research and development. Autonomous Agents and Multi-Agent Systems. 1:7-38, Boston, Kluwer Academic.
10. K-Team Corp, Khepera User Manual, http://www.k-team.com.
11. Kam, M., Zhu, Xiaoxun, and P. Kalata. 1997. Sensor fusion for mobile robot navigation. Proceedings of the IEEE. 85(1):108-119.
12. Klir, G.J. and B. Yuan. 1995. Fuzzy Sets and Fuzzy Logic: Theory and Application. New Jersey: Prentice Hall.
13. Laird, J. E., K. S. Yager, M. Hucha, and C. M. Tuck. 1991. Robo-soar: An integration of external interaction, planning, and learning using Soar. Robotics and Autonomous Systems. 8(1-2):113-129.
14. Luo, R. C. and M. G. Kay. 1989. Multisensor integration and fusion in intelligent systems. IEEE Trans. on Systems, Man and Cybernetics. 19(5):901-931.
15. Manyika, J. and H. Durrant-Whyte. 1994. Data Fusion and Sensor Management: A Decentralized Information-theoretic Approach. New York: Ellis Horwood.
16. Mitchell, T. M. 1997. Machine Learning. The McGraw-Hill Companies. Inc.
17. Mitichc, A. and J. K. Aggarwal. 1985. Image: segmentation by conventional and information-integration techniques: a synopsis. Image and Vision Computing. 3(2):50-62.
18. Pfeifer, R. and C. Scheier. 1999. Understanding Intelligence. Cambridge: MIT Press.
19. Rummery, G. and M. Niranjan. 1994. On-line Q-learning Connectionist Systems, Tech. Rep. Technical Report CUED/F-INFENG/TR166, Cambridge, University Engineering Department.
20. Russo, F. and G. Ramponi. 1994. Fuzzy methods for multisensor data fusion. IEEE Trans. on Instrumentation and Measurement. 43(1):288-294.
21. Sutton, R. S. 1988. Learning to predict by the methods of temporal difference. Machine Learning. 3:9-44.
22. Sutton, R. S. and A. G. Barto. 1998. Reinforcement Learning: An. Introduction. MIT Press.
23. Varshney, P. K. 1997. Multisensor data fusion. Electronics of Communication Engineering Journal. 9:245-253.
24. Wooldridge, M. and N. R. Jennings. 1995. Intelligent agents: theory and practice. The Knowledge Review. 10(2):115-152.
25. Wooldridge, M. and N. R. Jennings. 1997. Intelligent agents: theory and practices. The Knowledge Review. 10(2):26-37.
26. Yen, J. and R. Langari. 1998. Fuzzy Logic: Intelligence, Control, and Information. New Jersey: Prentice Hall.
27. Zadeh, L. A. 1965. Fuzzy sets. Inform. Control. 8:338-353.
28. Zadeh, L. A. 1998. Soft computing, fuzzy logic and recognition technology. In Proceedings of the FUZZ-IEEE, World Congress on Computational Intelligence, Anchorage, AK, pp. 1678-1679.