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A switching formation strategy for obstacle avoidance of a multi-robot system based on robot priority model

机译:基于机器人优先级模型的多机器人避障切换形成策略

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This paper describes a switching formation strategy for multi-robots with velocity constraints to avoid and cross obstacles. In the strategy, a leader robot plans a safe path using the geometric obstacle avoidance control method (GOACM). By calculating new desired distances and bearing angles with the leader robot, the follower robots switch into a safe formation. With considering collision avoidance, a novel robot priority model, based on the desired distance and bearing angle between the leader and follower robots, is designed during the obstacle avoidance process. The adaptive tracking control algorithm guarantees that the trajectory and velocity tracking errors converge to zero. To demonstrate the validity of the proposed methods, simulation and experiment results present that multi-robots effectively form and switch formation avoiding obstacles without collisions. (C) 2014 ISA. Published by Elsevier Ltd. All rights reserved.
机译:本文描述了具有速度约束以避免和越过障碍物的多机器人的切换编队策略。在该策略中,领导者机器人使用几何避障控制方法(GOACM)规划安全路径。通过与引导机器人计算新的期望距离和方位角,从动机器人切换为安全阵型。考虑到避免碰撞,在避障过程中基于领导者和跟随者机器人之间的所需距离和方位角,设计了一种新颖的机器人优先级模型。自适应跟踪控制算法可确保轨迹和速度跟踪误差收敛为零。为了证明所提方法的有效性,仿真和实验结果表明,多机器人有效地形成和切换编队,避免了没有碰撞的障碍物。 (C)2014 ISA。由Elsevier Ltd.出版。保留所有权利。

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