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World representation and path planning for a mobile robot

Published online by Cambridge University Press:  09 March 2009

E. Palma-Villalon
Affiliation:
Currently graduate student at University of California, Santa Barbara, CA 93106 (USA).
P. Dauchez
Affiliation:
LAMM-USTL, Place E. Bataillon, 34060 Montpellier Cedex, (France).

Summary

This paper is related to the problem of navigation of a mobile robot amidst obstacles. In order to easily take into account any modification of the environment, we propose a very simple representation of the obstacles, based on the use of rectangles, as well as a matrix description of the spatial relationships between the obstacles. We also present a path planner based on a A* algorithm, the features of which are specifically designed for our world of rectangles. The cost function takes into account both the length of the path and the number of turns. Some experimental results and implementation details are also given in this paper.

Type
Research Article
Copyright
Copyright © Cambridge University Press 1988

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References

1.Kajiwara, T. et al. , “Development of a mobile robot for security guard” Proc. of the 15th ISIR 271278 (09 1985).Google Scholar
2.Raibert, M. et al. , “3D balance using 2D algorithms” Proc. of ISRR (MIT Press Cambridge, MA, 1984).Google Scholar
3.Narikiyo, T. & Ito, M., “Control of a biped locomotion system in a double support phaseRobotica 3, 7377 (1985).CrossRefGoogle Scholar
4.Glower, J. & Ozguner, U., “Control of a quadruped trot” Proc. of IEEE ICRA 14961501 (04, 1986).Google Scholar
5.Lee, W. J. & Orin, D., “The kinematics of legged locomotion over uneven terrain” Proc. of IEEE ICRA 14901495 (04, 1986).Google Scholar
6.Tsumura, T., “Survey of automated guided vehicle in a Japanese factory” Proc. of IEEE ICRA 13291334 (04, 1986).Google Scholar
7.Khatib, O., “Real-time obstacle avoidance for manipulators and mobile robots” Proc. of IEEE ICRA 500505 (03 1985).Google Scholar
8.Thorpe, C., “Path relaxation: path planning for a mobile robot” Proc. of AAAI 318321 (08, 1984).CrossRefGoogle Scholar
9.Chatila, R., “Path planning and environmental learning in a mobile robot systemEuropean Conference on A.I. Orsay-France (08, 1982).Google Scholar
10.Gaw, D. & Meystel, A., “Minimum-time navigation of an unmanned mobile robot in a 2 1/2 D world with obstacles” Proc. of IEEE ICRA 16701677 (04, 1986).Google Scholar
11.Siy, P., “Road map production system for intelligent mobile robot” Proc. of IEEE ICRA 562570 (03, 1984).Google Scholar
12.Lozano-Perez, T., “Spatial planning: a configuration space approach” IEEE Trans. on Computers C-32, No. 2, 108120 (02, 1983).CrossRefGoogle Scholar
13.McDermott, D. & Davis, E., “Planning routes through uncertain territoryArtificial Intelligence 22, 107156 (1984).CrossRefGoogle Scholar
14.Brooks, R., “Solving the find-path problem by good representation of the free space” IEEE Transactions Systems, Man and Cybernetics SMC-13, No. 3, 190197 (03/04, 1983).CrossRefGoogle Scholar
15.Oomen, B. et al. , “Robot navigation in unknown terrains of convex polygonal obstacles using learned visibility graphs” Proc. of AAAI 11011106 (08, 1986).Google Scholar
16.Singh, S. & Wagh, M., “Robot path planning using intersecting convex shapes” Proc. of IEEE ICRA 17431748 (04, 1986).Google Scholar
17.Kuan, D. et al. , “Automatic path planning for a mobile robot using a mixed representation of free space” Proc. of IEEE ICRA 7074 (03 1984).Google Scholar
18.Witkowski, C., “A parallel processor algorithm for robot route planning” Proc. of IJCAI 827830 (1983).Google Scholar
19.Meystel, A. et al. , “Minimum time path planning for a robot” Proc. of IEEE ICRA 16781687 (04, 1986).Google Scholar
20.Elfes, A., “A sonar-based mapping and navigation system” Proc. of IEEE ICRA 115111156 (04, 1986).Google Scholar
21.Winston, P., Artificial Intelligence Second edition (Addison-Wesley, New York, 1984).Google Scholar