Approximation Algorithms for the Single Robot Line Coverage Problem
Approximation Algorithms for the Single Robot Line Coverage Problem
复制标题
单机器人线路覆盖问题的近似算法
DOI:
10.1007/978-3-030-66723-8_32
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发表时间:
2021
期刊:
影响因子:
--
通讯作者:
Akella, Srinivas
中科院分区:
文献类型:
--
作者:
Agarwal, Saurav;Akella, Srinivas
The line coverage problem is the task ofservicinga given set of one-dimensional features in an environment. Its applications include the inspection of road networks, power lines, and oil and gas lines. The line coverage problem is a generalization of the standard arc routing problems, and is NP-hard in general. We address the single robot line coverage problem where the service and deadhead costs are distinct and asymmetric. We model the problem as an optimization problem that minimizes the total cost of travel on a given graph. We present approximation algorithms to obtain bounded solutions efficiently, using the minimum cost flow problem. We build the main algorithm in stages by considering three simpler subproblems. The subproblems are based on the structure of therequired graph, i.e., the graph induced by the features that require servicing. We first present an optimal algorithm for the case of Eulerian graphs with onlyrequirededges. Next we consider general graphs, not necessarily Eulerian, with only required edges and present a 2-approximation algorithm. Finally, we consider the general case with both required and non-required edges. The approximation algorithm is dependent on the Asymmetric Traveling Salesperson Problem (ATSP), and is bounded by, whereis the approximation factor of the ATSP algorithm withCconnected components. Our upper bound is also an improvement over the existing results for the asymmetric rural postman problem.
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DOI:
10.1145/3188745.3188824
发表时间:
2018
期刊:
--
影响因子:
--
作者:
Svensson O
通讯作者:
Svensson O
影响因子:
2.1
作者:
R. van Bevern;C. Komusiewicz;und M. Sorge
通讯作者:
und M. Sorge
DOI:
10.1109/icra40945.2020.9197292
发表时间:
2020
期刊:
IEEE International Conference on Robotics and Automation
影响因子:
--
作者:
Agarwal, Saurav;Akella, Srinivas
通讯作者:
Akella, Srinivas
影响因子:
2.7
作者:
Z. Win
通讯作者:
Z. Win
DOI:
--
发表时间:
2011
期刊:
IEEE International Conference on Robotics and Automation
影响因子:
--
作者:
Ling Xu;A. Stentz
通讯作者:
A. Stentz