Cooperative search and rescue with a team of mobile robots

James S Jennings, Greg Whelan, W. F. Evans
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引用次数: 313

Abstract

We present an implemented algorithm for a distributed team of autonomous mobile robots to search for an object. When one robot finds it, they all gather around it, and then manipulate ("rescue") it. The algorithm exploits parallelism, with all robots searching concurrently, and also teamwork, because the manipulation is performed cooperatively. Our algorithm is fully distributed; the robots communicate with each other, and there is no central server or supervisor. Applications include hazardous waste cleanup, bomb detection and removal, materials delivery, and eventually the rescue of survivors of accidents or disasters. The search and rescue program was written using MOVER, a programming system for distributed tasks. The system provides high-level programming constructs for task distribution across robots. Finally, MOVER encourages code re-use because the task distribution mechanism can synchronize any set of procedures (without rewriting), allowing the programmer of a distributed task to access libraries of robot software written for single-robot tasks.
与移动机器人团队合作搜索和救援
我们提出了一种分布式自主移动机器人团队搜索目标的实现算法。当一个机器人发现它时,它们都聚集在它周围,然后操纵(“营救”)它。该算法利用并行性,所有机器人同时搜索,以及团队合作,因为操作是协同执行的。我们的算法是完全分布式的;机器人之间相互通信,没有中央服务器或主管。应用范围包括危险废物清理、炸弹探测和移除、物资运送,以及最终救援事故或灾难的幸存者。搜索和救援程序是使用分布式任务编程系统MOVER编写的。该系统为跨机器人的任务分配提供了高级编程结构。最后,MOVER鼓励代码重用,因为任务分发机制可以同步任何一组过程(无需重写),从而允许分布式任务的程序员访问为单机器人任务编写的机器人软件库。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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