Learning View Graphs for Robot Navigation

Autonomous Robots

Volumn 5, Issue 1, 1998, Pages 111-125

  Franz, Matthias O ^a,c,d   Schölkopf, Bernhard ^a,b,d,e,f,g   Mallot, Hanspeter A ^a,h,i,j   Bülthoff, Heinrich H ^a,d,i,k,l,m  

^a MAX PLANCK INSTITUTE FOR BIOLOGICAL CYBERNETICS   (Germany)

^b Gesell F Math Datenver arbeitung   (Germany)

^c STONY BROOK UNIVERSITY   (United States)

^d UNIVERSITY OF TÜBINGEN   (Germany)

^e UNIVERSITY OF LONDON   (United Kingdom)

^f TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

^g AT and T and Bell Laboratories   (Germany)

^h JOHANNES GUTENBERG UNIVERSITY   (Germany)

ⁱ MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^j Institute of Advanced Study   (Germany)

^k Institute of Advanced Study ^*

^l BROWN UNIVERSITY   (United States)

^m MAX PLANCK INSTITUTE   (Germany)

more..

Author keywords

Cognitive maps; Environment modeling; Exploration; Mobile robots; Omnidirectional sensor; Topological maps; Visual navigation

Indexed keywords

COGNITIVE SYSTEMS; GRAPH THEORY; MATHEMATICAL MODELS; MOBILE ROBOTS; ROBOT LEARNING; SENSORS;

OMNIDIRECTIONAL SENSORS;

COMPUTER VISION;

EID: 0032024148     PISSN: 09295593     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1008821210922     Document Type: Article

References (26)

1. Bachelder, I.A. and Waxman, A.M. 1995. A view-based neurocomputational system for relational map-making and navigation in visual environments. Robotics and Autonomous Systems, 16:267-289.
2. Brooks, R.A. 1986. A robust layered control system for a mobile robot. IEEE Journal of Robotics and Automation, RA-2(1).
3. Cartwright, B.A. and Collett, T.S. 1983. Landmark learning in bees. J. Comp. Physiol. A, 151:521-543.
4. Chahl, J.S. and Srinivasan, M.V. 1996. Visual computation of egomotion using an image interpolation technique. Biol. Cybern., 74:405-411.
5. Collett, T.S. 1992. Landmark learning and guidance in insects. Phil. Trans. R. Soc. Lond. B, 337:295-303.
6. Collett, T.S. 1996. Insect navigation en route to the goal: Multiple strategies for the use of landmarks. J. Exp. Biol., 199:227-235.
7. Franz, M.O., Schölkopf, B., and Bülthoff, H.H. 1997. Homing by parameterized scene matching. In Fourth Europ. Conf. on Artificial Life, P. Husbands and I. Harvey (Eds.), MIT Press: Cambridge, MA, pp. 236-245.
8. Franz, M.O., Schölkopf, B., Georg, R, Mallot, H.A., and Bülthoff, H.H. 1997. Learning view graphs for robot navigation. In Proc. 1. Intl. Conf. on Autonomous Agents, W.L. Johnson (Ed.), ACM Press: New York, pp. 138-147.
9. Gallistel, R. 1990. The Organization of Learning, MIT Press: Cambridge, MA.
10. Gillner, S. and Mallot, H.A. 1997. Navigation and acquisition of spatial knowledge in a virtual maze. J. Cognitive Neuroscience. In press.
11. Goldman, S. 1953. Information Theory, Dover: New York.
12. Hong, J., Tan, X., Pinette, B., Weiss, R., and Riseman, E.M. 1991. Image-based homing. In Proc. IEEE Intl. Conf. on Robotics and Automation, pp. 620-625.
13. Kuipers, B.J. and Byun, Y. 1991. A robot exploration and mapping strategy based on a semantic hierarchy of spatial representations. Robotics and Autonomous Systems, 8:47-63.
14. Lieblich, I. and Arbib, M.A. 1982. Multiple representations of space underlying behavior. Behavioral and Brain Sciences, 5:627-659.
15. Mallot, H., Bülthoff, H., Georg, P., Schölkopf, B., and Yasuhara, K. 1995. View-based cognitive map learning by an autonomous robot. In Proc. ICANN'95 - Int. Conf. on Artificial Neural Networks, F. Fogelman-Soulié and P. Gallinari (Eds.) EC2, Nanterre, France, Vol. II, pp. 381-386.
16. Mataric, M.J. 1991. Navigating with a rat brain: A neurobiologically-inspired model for robot spatial representation. In From Animals to Animals, J.-A. Meyer and S.W. Wilson (Eds.), MIT Press: Cambridge, MA.
17. O'Keefe, J. and Nadel, L. 1978. The Hippocampus as a Cognitive Map, Clarendon Press: Oxford.
18. O'Neill, M.J. 1991. Evaluation of a conceptual model of architectural legibility. Environment and Behavior, 23:259-284.
19. Piaget, J. and Inhelder, B. 1967. The Child's Conception of Space, Norton: New York.
20. Poucet, B. 1993. Spatial cognitive maps in animals: New hypotheses on their structure and neural mechanisms. Psychological Rev., 100:163-182.
21. Röfer, T. 1995. Controlling a robot with image-based homing. Center for Cognitive Sciences, Bremen, Report 3/95.
22. Schölkopf, B. and Mallot, H.A. 1995. View-based cognitive mapping and path planning. Adaptive Behavior, 3:311-348.
23. Thrun, S. 1995. Exploration in active learning. In The Handbook of Brain Theory and Neural Networks, M.A. Arbib (Ed.), MIT Press, pp. 381-384.
24. Tolman, E.C. 1932. Purposive Behavior of Animals and Men, Irvington: New York.
25. Wehner, R., Michel, B., and Antonsen, P. 1996. Visual navigation in insects: Coupling of egocentric and geocentric information. J. Exp. Biol., 199:129-140.
26. Yagi, Y., Nishizawa, Y, and Yachida, M. 1995. Map-based navigation for a mobile robot with omnidirectional image sensor COPIS. IEEE Trans. Robotics Automat., 11:634-648.