Distributed Self-organized Collective Motion Control with Layered Structure for Robot Swarm

Truong Nhu, Pham Duy Hung, T. Ngo
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Abstract

This paper addresses a distributed self-organized collective motion control for robot swarms to escape large-sized concave obstacles and corridors in unknown environments. Based on the wall-following navigation strategy in our previous work, we develop a novel layered structure enabling any robot swarms to achieve cohesive and aligned motion, thus eradicating motion disorientation and local minimum problems. The proposed method is examined and evaluated in simulation with concave obstacles and corridors.
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机器人群分层结构的分布式自组织集体运动控制
本文研究了未知环境中机器人群躲避大型凹障碍物和走廊的分布式自组织集体运动控制。基于我们之前工作中的wall-follow导航策略,我们开发了一种新颖的分层结构,使任何机器人群体都能实现内聚和对齐运动,从而消除运动定向障碍和局部最小问题。在具有凹障碍物和凹通道的仿真中对该方法进行了验证和评价。
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