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Integrating planned and reactive behaviors for exploration coordination of multi-robot systems

机译:集成计划和无功行为,以探讨多机器人系统的协调

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摘要

To realize efficient exploration, a novel coordinated algorithm which integrated planned and reactive behaviors is proposed in this paper. The planned behaviors realize dispersion of robots over an environment, cooperation among robots and task assignments to robots. The behaviors are discussed from a case that the robot team size equals four in a kind of obstacle free environments. Afterwards, the behaviors are used to coordinate robot team with any size by utilizing a concept of compound robot. Reactive behaviors are used to deal with appearance of different outline obstacles in a kind of sparsely occupied environments. Then, a finite state machine is utilized to integrate these behaviors. For the two kinds of environments, robots conduct a set of zigzag and distorted zigzag trajectories, respectively. Finally, the results are validated by computer simulations.
机译:为了实现有效的探索,本文提出了一种新颖的协调算法,其中提出了综合计划和反应性行为。计划行为实现了机器人在环境中的分散,机器人和任务分配之间的合作到机器人。从机器人团队尺寸等于某种障碍环境中等于四个的情况讨论了行为。之后,该行为用于通过利用复合机器人的概念来协调具有任何尺寸的机器人团队。反应性行为用于处理一种稀疏占用环境中不同的轮廓障碍的外观。然后,利用有限状态机来集成这些行为。对于两种环境,机器人分别进行一组锯齿形和扭曲的锯齿形轨迹。最后,通过计算机模拟验证结果。

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