Abstract
We consider the problem of a robot traversing an unknown polygon with the aid of standard visibility. The robot has to find a path from a starting point s to a target point t. We provide upper and lower bounds on the ratio of the distance traveled by the robot in comparison to the length of a shortest path.
We consider two problems in this context. First we assume that the location of the target t is known to the robot. We prove a lower bound of √2 on the competitive ratio of any deterministic algorithm that solves this problem. This bound matches the competitive ratio for searches in a rectilinear streets with an unknown target point which implies that, for rectilinear streets, such knowledge provides no advantage for the robot. In addition, we obtain a lower bound of 9 for the competitive ratio of searching in generalized streets with known target which closely matches the upper bound for an unknown target. Secondly, we consider a new strategy for searching in an arbitrarily oriented street where the location of t is unknown. We show that our strategy achieves a competitive ratio of √1+(1+π/4)2(∼ 2.05) which significantly improves the best previously known ratio of 2√1+1/√2(∼ 2.61).
This research is partially supported by the DPG-Ptoject ”Diskrete Probleme”, No. Ot 64/8-1.
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References
R. Baeza-Yates, J. Culberson and G. Rawlins. “Searching in the plane”, Information and Computation, Vol. 106, (1993), pp. 234–252.
A. Blum, P. Raghavan and B. Schieber. “Navigating in unfamiliar geometric terrain“, Proc. of 23rd ACM Symp. on Theory of Computing, (1991), pp. 494–504.
K-F. Chan and T. W. Lam. “An on-line algorithm for navigating in an unknown environment”, International Journal of Computational Geometry & Applications, Vol. 3, (1993), pp. 227–244.
A. Datta and Ch. Icking. “Competitive searching in a generalized street”, Proc. of 10th ACM Sypm. on Computational Geometry, (1994), pp. 175–182.
X. Deng, T. Kameda and C. Papadimitriou. “How to learn an unknown environment I: The rectilinear case”, Technical Report CS-93-04, Department of Computer Science, York University, 1993. A preliminary version appeared in Proc. 32nd IEEE Symp. on Foundations of Computer Science, (1991), pp. 298–303.
Ch. Icking. Ph. D. Thesis, Fernuniversität Hagen, 1994.
R. Klein. “Walking an unknown street with bounded detour”, Computational Geometry: Theory and Applications 1, (1992), pp. 325–351.
J. Kleinberg. “On-line search in a simple polygon”, Proc. of 5th ACM-SIAM Symp. on Discrete Algorithms, (1994), pp. 8–15.
A. López-Ortiz and S. Schuierer. Simple, Efficient and Robust Strategies to Traverse Streets. Manuscript. 1995.
A. Mei and Y. Igarashi. “Efficient strategies for robot navigation in unknown environment” Proc. of 21st International Colloquium on Automata, Languages and Programming, (1994), to appear.
C. H. Papadimitriou and M. Yannakakis. “Shortest paths without a map”, Theoretical Computer Science 84, (1991), pp. 127–150.
D. D. Sleator and R. E. Tarjan. “Amortized efficiency of list update and paging rules”, Communications of the ACM 28, (1985), pp. 202–208.
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© 1995 Springer-Verlag Berlin Heidelberg
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López-Ortiz, A., Schuierer, S. (1995). Going home through an unknown street. In: Akl, S.G., Dehne, F., Sack, JR., Santoro, N. (eds) Algorithms and Data Structures. WADS 1995. Lecture Notes in Computer Science, vol 955. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60220-8_57
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DOI: https://doi.org/10.1007/3-540-60220-8_57
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