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Navigating in unfamiliar geometric terrain
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Source Annual ACM Symposium on Theory of Computing archive
Proceedings of the twenty-third annual ACM symposium on Theory of computing table of contents
New Orleans, Louisiana, United States
Pages: 494 - 504  
Year of Publication: 1991
ISBN:0-89791-397-3
Authors
Avrim Blum  Laboratory for Computer Science, MIT, Cambridge, MA
Prabhakar Raghavan  IBM Research Division, T. J. Watson Research Center, Yorktown Heights, NY
Baruch Schieber  IBM Research Division, T. J. Watson Research Center, Yorktown Heights, NY
Sponsor
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 4,   Downloads (12 Months): 45,   Citation Count: 23
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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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A. Blum, A. Borodin, D. Foster, H.J. Karloff, Y. Mansour, P. Raghavan, M. Saks, and B. Schieber. Randomized on-line algorithms for graph closures. Personal communication, 1990.
 
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M. Blum and D. Kozen. On the power of the compass (or, why mazes are easier to search than graphs), in 19th Annual Symposium on Foundations of Computer Science, pages 132-142, October 1978.
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L. Cheng and J.D. McKendrick. Autonomous knowledge based navigation in an unknown two dimensional environment with convex polygonal obstacles. In Proc. of the int. Soc. Opt. Eng., volume 1095, pages 752-759, 1989.
 
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E.G. Coffman and E.N. Gilbert. Paths through a maze of rectangles. In preparation, AT&T Bell Labs, 1991.
 
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M. Daily, J. Harris, D. Keirsey, D. Olin, D. Payton, K. Rci#cr, J. Rosenblatt, D. T#eng, and V. Wong. Autonomous cross-country navigation with the ALV. in Proc. of the IEEE International Conference on Robotics and Automation, volume 2, pages 718-726, 1988.
 
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B. Kalyanasundaram and K. Pruhs. Visual searching and mapping. Technical Report 90-15, Dept. of Computer Science, Univ. of Pittsburgh.
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V. Lumelsky. Algorithmic issues of sensor-based robot motion planning. In P6th IEEE Con}erence on Decision and Control, pages 1796-1801, 1987.
 
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V.J. Lumelsky and A.A. Stepanov. Dynamic path planning for a mobile automaton with limited information on the environment. IEEE Transactions on Automatic Control, AC-31:1058-1063, 1986.
 
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H. Moravec. The Stanford cart and the CMU rover. Proceedings o} the IEEE, 71:872-874, 1983.
 
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B.J. Oomen, S.S. Iyengar, N.S.V., Rao, and R.L. Kashyap. Robot navigation in unknown terrains using learned visibility graphs. Part I: The disjoint convex obstacle case. IEEE Journal o} Robotics and Automation, 3:672-681, 1987.
 
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N.S.V. Rao, S.S. Iyengar, and G. deSaussure. The visit problem: visibility graph based solution. In IEEE International Conference on Robotics and Automation, pages 1650-1655, 1988.
 
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N.S.V. Rao, S.S. Iyengar, B.J. Oomen, and R.L. Kashyap. On terrain model acquisition by a point robot amid polyhedral obstacles. 1EEE Journal of Robotics and Automation, 4:450-455, 1988.
 
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C.N. Shen and G. Nagy. Autonomous navigation to provide long distance surface traverses for Mars rover sample return mission. In 1EEE International Symposium on Intelligent Control, pages 362-367, 1989.
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C-K. Yap. Algorithmic motion planning. In J.T. Schwartz and C.K. Yap, editors, Advances in Robotics, pages 95-144. Lawrence Erlbaum Associated, Hillsdale, NJ, 1987.

CITED BY  23


REVIEW

"Kirk Pruhs : Reviewer"

The setting for the problems considered in this paper is a plane littered with obstacles and inhabited by a robot. The locations and shapes of the obstacles are initially unknown to the robot. The robot's goal is to find a short, obstacle-avoi  more...

Collaborative Colleagues:
Avrim Blum: colleagues
Prabhakar Raghavan: colleagues
Baruch Schieber: colleagues