Heuristics on the Data-Collecting Robot Problem with Immediate Rewards

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9862)

Abstract

We propose the Data-collecting Robot Problem, where robots collect data as they visit nodes in a graph, and algorithms to solve it. There are two variations of the problem: the delayed-reward problem, in which robots must travel back to the base station to deliver the data collected and to receive rewards; and the immediate-reward problem, in which the reward is immediately given to the robots as they visit each node. The delayed-reward problem is discussed in one of the authors’ work. This paper focuses on the immediate-reward problem. The solution structure has a clustering step and a tour-building step. We propose Progressive Gain-aware Clustering that finds good quality solutions with efficient time complexity. Among the six proposed tour-building heuristics, Greedy Insertion and Total-Loss algorithms perform best when data rewards are different.

Keywords

Adversary route planning Multi-robot systems Autonomous systems 

Notes

Acknowledgement

We thank Mahmuda Rahman and Jeff Hudack for reviewing drafts of this paper and providing valuable suggestions.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Electrical Engineering and Computer ScienceSyracuse UniversitySyracuseUSA

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