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-Survivability: Diversity and Survival of Expendable Robots

Yu-Han Lyu, Yining Chen, Devin Balkcom

发表年份
2016
引用次数
6

摘要

We define the k-survivability of a set of n paths as the probability that at least k out of n robots following those paths through a stochastic threat environment reach goals. High k-survivability sets tend to contain short and diverse paths.Finding sets of paths with maximum k-survivability is NP-hard. We design two algorithms: a complete algorithm that finds an optimal list of paths, and a heuristic method that finds paths with high k-survivability. Although computing k-survivability is expensive and this work is still preliminary, we believe that understanding the relationship between diversity and survival will yield new insights into multirobot motion planning.

关键词

SurvivabilitySet (abstract data type)HeuristicRobotComputer scienceDiversity (politics)Mathematical optimizationMathematicsArtificial intelligenceComputer network

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