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Abstraction based approach for segregation in heterogeneous robotic swarms

机译:基于抽象的异构机器人群中的分离方法

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摘要

The focus of this study is to design individual control laws that segregate multiple groups of mobile heterogeneous robots. Our approach is based on the use of abstractions to represent each group of robots and an artificial potential function to segregate the groups. Different from other works in the literature, we prove that with our controller the system will always converge to a state where robots of the same group will be together while separated from robots of different groups. We also propose a collision avoidance scheme which does not interfere in the segregation controller. Furthermore, our controller has a local property, meaning that the controller might not require global information of the whole swarm to converge to the segregated state. The approach is validated with simulations varying the number of robots and groups and experiments with real robots. (C) 2019 Elsevier B.V. All rights reserved.
机译:本研究的重点是设计单独的控制法,隔离多组移动异构机器人。 我们的方法基于使用抽象来代表每组机器人和人工潜在功能来分离组。 与文献中的其他作品不同,我们证明我们的控制器通过我们的控制器将始终收敛到同一组的机器人将在一起的状态,同时与不同组的机器人分开。 我们还提出了一种碰撞避免计划,不会干扰隔离控制器。 此外,我们的控制器具有本地属性,这意味着控制器可能不需要整个群体的全局信息来收敛到隔离状态。 该方法验证了模拟改变机器人和群体的数量以及实际机器人的实验。 (c)2019年Elsevier B.V.保留所有权利。

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