Target representation on an autonomous vehicle with low-level sensors

International Journal of Robotics Research

Volumn 19, Issue 5, 2000, Pages 424-447

  Bicho, Estela ^a,b   Mallet, Pierre ^b   Schöner, Gregor ^b  

^a UNIVERSITY OF MINHO   (Portugal)

^b Ctr de Rech en Neurosci C   (France)

Author keywords

[No Author keywords available]

Indexed keywords

COLLISION AVOIDANCE; IMAGE SENSORS; INFRARED DEVICES; INTEGRATION; INTERPOLATION; MICROPHONES; MOTION CONTROL; MOTION PLANNING; STORAGE ALLOCATION (COMPUTER);

DYNAMIC NEURAL FIELDS; LOW-LEVEL SENSORS;

MOBILE ROBOTS;

EID: 0034179906     PISSN: 02783649     EISSN: None     Source Type: Journal    
DOI: 10.1177/02783640022066950     Document Type: Article

References (33)

1. Amari, S. 1977. Dynamics of pattern formation in lateral-inhibition type neural fields. Biological Cybernetics 27:77-87.
2. Arkin, A. R. 1998. Behavior-Based Robotics. Cambridge, MA: MIT Press.
3. Bicho, E. 1999. Dynamic Approach to Behavior-Based Robotics. Ph.D. thesis, University of Minho, Portugal.
4. Bicho, E., Mallet, P., and Schöner, G. 1998. Using attractor dynamics to control autonomous vehicle motion. IECON'98,24th Annual Conference of the IEEE Industrial Electronics Society, Aachen, Germany, August 31-September 4, vol. 2, pp. 1176-1181.
5. Bicho, E., and Schöner, G. 1997a. The dynamic approach to autonomous robotics demonstrated on a low-level vehicle platform. Robotics and Autonomous Systems 21:23-35.
6. Bicho, E., and Schöner, G. 1997b. Target position estimation, target acquisition, and obstacle avoidance. Proceedings of the IEEE International Symposium on Industrial Electronics (ISIE'97), Piscataway, NJ, pp. SS13-SS20.
7. Blauert, J. 1996. Spatial Hearing - The Psychophysics of Human Sound Localization. Cambridge MA: MIT Press.
8. Braitenberg, V. 1984. Vehicles. Experiments in Synthetic Psychology. Cambridge, MA: MIT Press.
9. Brooks, R. A. 1991. Intelligence without representation. Artificial Intelligence 47:139-160.
10. Cade, W. H., and Cade, E. S. 1992. Male mating success, calling and searching behavior at high and low densities in the field cricket, gryllus integer. Animal Behavior 43:49-56.
11. Chatila, R. 1994. Representations + reason + reaction → robot intelligence. In Robotics Research - Tthe Sixth International Symposium, ed. T Kanade and R Paul, 387-397. Cambridge, MA: The International Foundation for Robotics Research.
12. Chipalkatti, R., and Arbib, M. A. 1987. The prey localisation model: A stability analysis. Biological Cybernetics 57:287-299.
13. Connell, J. H. 1990. Minimalist Mobile Robotics. New York: Academic Press.
14. Duda, O. 1996. Auditory localization demonstrations. Acustica - Acta Acusticca 82:346-355.
15. Engels, C., and Schöner, G. 1995. Dynamic fields endow behavior-based robots with representations. Robotics and Autonomous Systems 14:55-77.
16. Ewert, J.-P. 1974. The neural basis of visually guided behavior. Sci. Am. 230:34-42.
17. Guentchev, K. Y., and Weng, J. 1998. Learning-based three dimensional sound localization using a coplanar array of microphones. Intelligent Environments Symposium, Proc. 1998 AAAI Spring Symposium Series, Stanford University, March 23-25.
18. House, D. H. 1988. A model of the visual localization of prey by frog and toad. Biological Cybernetics 58:173-192.
19. Kishimoto, K., and Amari, S. 1979. Existence and stability of local excitations in homogeneous neural fields. Journal of Mathematical Biology 7:303-318.
20. Kopecz, K., and Schöner, G. 1995. Saccadic motor planning by integrating visual information and pre-information on neural, dynamic fields. Biological Cybernetics 73:49-60.
21. Kuwana, Y., and Shimoyama, I. 1998. A pheromone-guided mobile robot that behaves like a silkworm moth with living antennae as pheromone sensors. International Journal of Robotics Research 17(9):924-933.
22. Large, E., Christensen, H. I., and Bajcsy, R. 1999. Scaling the dynamic approach to path planning and control: Competition. International Journal of Robotics Research 18:37-58.
23. Liggins, M., Kadar, I., and Vannicola, V. 1997. Distributed fusion architectures and algorithms for target tracking. Proc. of the IEEE, vol. 85, January.
24. Lund, H. H., Webb, B., and Hallam, J. 1997. A robot attracted to the cricket species Gryllus bimaculatus. In Fourth European Conference on Artificial Life, ed. P Husbands and I Harvey, pp. 246-255. Cambridge, MA: MIT Press.
25. Mills, A. 1972. Auditory localization. Foundations of Modern Auditory Theory 2:301-348.
26. Perko, L. 1991. Differential Equations and Dynamical Systems. Berlin: Springer-Verlag.
27. Schöner, G., and Dose, M. 1992. A dynamical systems approach to task-level system integration used to plan and control autonomous vehicle motion. Robotics and Autonomous Systems 10:253-267.
28. Schöner, G., Dose, M., and Engels, C. 1995. Dynamics of behavior: Theory and applications for autonomous robot architectures. Robotics and Autonomous Systems 16:213-245.
29. Shama, S., Shen, N., and Gopalawamy, P. 1989. Stereausis: Binaural processing without neural delays. Journal of the Acoustical Society of America 86(March):989-1006.
30. Steinhage, A. 1998. Dynamical Systems Generate Navigation Behavior. Ph.D. thesis. In Berichte aus der Physic. Aachen, Germany: SHAKER-Verlag.
31. Steinhage, A., and Schöner, G. 1997. Self-calibration based on invariant view recognition: Dynamic approach to navigation. Robotics and Autonomous Systems 20:133-156.
32. Webb, B. 1995. Using robots to model animals: A cricket test. Robotics and Autonomous Systems 16:117-134.
33. Wilson, H. R., and Cowan, J. D. 1973. A mathematical theory of the functional dynamics of cortical and thalamic nervous tissue. Kybernetik 13:55-80.