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Exogenous Fault Detection and Recovery for Swarm Robotics

机译:群机器人的外源故障检测与恢复

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A robotic swarm needs to maintain continuous operation even in the event of failure of one or more individual robots. Even with a small number of faulty robots, the time for achieving the task will be significantly increased. If the behaviors of biological systems are considered, a number of approaches based on communication, to detect damaged or injured cells or insects can be identified. In this research the transmission of position data between robots has been used as the main method of fault location. The transmission of this data permits members of a robotic swarm to identify and subsequently isolate a faulty robot, either in its drive train or position measurement system. This paper discusses the approach used and presents simulation results.
机译:即使在一个或多个单独的机器人发生故障的情况下,机器人集群也需要保持连续运行。即使出现故障的机器人数量很少,完成任务的时间也会大大增加。如果考虑生物系统的行为,则可以识别出多种基于通信的方法来检测受损或受损的细胞或昆虫。在这项研究中,机器人之间的位置数据传输已被用作故障定位的主要方法。该数据的传输允许机器人群体的成员在其传动系或位置测量系统中识别并随后隔离故障的机器人。本文讨论了所使用的方法并提供了仿真结果。

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