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STARS: Static relays for multi-robot real-time search and monitoring

机译:星星:用于多机器人实时搜索和监控的静态继电器

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摘要

We first present a problem called precedence constrained two traveling salesman (PC2TSP). We propose a near-optimal heuristic to PC2TSP to generate tours by clustering points, generating optimal single-traveler tours, and tour pruning and balance. Second, we show an application of PC2TSP and how our solution to PC2TSP can be applied to the application. By modeling in part by PC2TSP, we solve the problem of minimum time two-robot real-time search with relay deployment. We call the solution STAtic Relay aided Search (STARS), which identifies visiting positions by set cover and Steiner connected dominating set; assigns the precedence constraint by breadth-first search; and finally generates tours by PC2TSP. STARS substantially reduces cost compared to a homogeneous mobile robot system and enables constant monitoring of suspicious areas. STARS and our solution to PC2TSP are extensible to deal with more than two travelers. Extensive simulations with both narrow and wide regions show that our solution to PC2TSP achieves near-optimal performance with less than 2% average difference from optimal.
机译:我们首先提出一个被称为优先级的问题,约束了两个旅行推销员(PC2TSP)。我们向PC2TSP提出了一个近乎最佳的启发式,通过聚类积分来创造旅游,产生最佳的单旅游者之旅以及旅游修剪和平衡。其次,我们展示了PC2TSP的应用以及如何将PC2TSP的解决方案应用于应用程序。通过PC2TSP部分建模,我们解决了与继电器部署的最小时间两个机器人实时搜索问题。我们调用解决方案静态继电器辅助搜索(星),其通过设定盖板和施泰纳连接的主导集来识别访问位置;通过宽度首先搜索分配优先约束;最后通过PC2TSP生成旅游。与均匀移动机器人系统相比,恒星显着降低了成本,并且能够持续监测可疑区域。 STARS和我们的PC2TSP的解决方案是可扩展的,以处理两个以上的旅行者。狭窄和宽地区的广泛模拟表明,我们的PC2TSP解决方案近乎最佳性能,与最佳的平均水平差异不到2%。

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