DocumentCode
2593768
Title
Lazy robots constrained by at most two polygons
Author
Abrahamson, Jeff ; Shokoufandeh, Ali
Author_Institution
Dept. of Comput. Sci., Drexel Univ., Philadelphia, PA, USA
fYear
2005
fDate
2-6 Aug. 2005
Firstpage
2762
Lastpage
2767
Abstract
We present a polynomial-time algorithm for a special case of the Euclidean traveling salesman problem in which a robot must visit all the vertices of two non-intersecting polygons without crossing any polygon edge. If both polygons are convex, one enclosing the other, our algorithm can find the optimal tour of the channel between them in time O(m3 + m2n) and O(nm + m2) space, where the exterior polygon has n vertices and the interior m vertices. In the more general case of non-convex polygons (not necessarily nested), the algorithm finds the exact optimum tour in O(n2m + m3) time and O(n2 + m2) space. At the end we give several examples in the context of robot navigation.
Keywords
computational complexity; computational geometry; convex programming; navigation; robots; travelling salesman problems; Euclidean traveling salesman problem; computational geometry; convex polygons; lazy robots; nonintersecting polygons; optimal tour; polygon edge; polynomial-time algorithm; robot navigation; Computational geometry; Computer science; Dynamic programming; Heuristic algorithms; Navigation; Orbital robotics; Polynomials; Robots; Space exploration; Traveling salesman problems; Computational Geom etry; Robot Navigation; TSP;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Robots and Systems, 2005. (IROS 2005). 2005 IEEE/RSJ International Conference on
Print_ISBN
0-7803-8912-3
Type
conf
DOI
10.1109/IROS.2005.1545047
Filename
1545047
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