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An Algorithm for Swarm Robot to Avoid Multiple Dynamic Obstacles and to Catch the Moving Target

机译:一种批量机器人避免多种动态障碍物的算法,捕获移动目标

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This paper presents a method for swarm robot to catch the moving target and to avoid multiple dynamic obstacles in the unknown environment. An imaginary map is built, including the highest mountain, some small hills, and a lowest lying land, respectively corresponding to the starting position of the robot, the detected obstacles, and the target. The robot is considered as a flow of water flowing from high to low. The flow of water is the robot trajectory that is divided into a set of points created by an algorithm called Self-organizing migrating algorithm. Simulation results are also presented to show that the obstacle avoidance and catching target task can be reached using this method.
机译:本文介绍了群体机器人捕获移动目标的方法,并避免在未知环境中的多种动态障碍。建造了一个虚构的地图,包括最高山,一些小山丘和最低躺线,分别对应于机器人的起始位置,检测到的障碍物和目标。机器人被认为是从高到低的水流动的流动。水流是机器人轨迹,其被分成由称为自组织迁移算法的算法创建的一组点。还提出了仿真结果表明,可以使用此方法达到避免避免和捕获目标任务。

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