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Optimal Design of Grazing Behavior for Multi-Agent Robots

机译:多智能体机器人的掠食行为优化设计

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This paper considers the problem of razing behavior, which is one of the most fundamental social behaviors and very important in the formation control of robot teams. Similar to the complete coverage problem but with dynamic moving behaviors, we investigated some optimal team control rules under the requirement of minimum dwell time, which is reasonable in completing a practical task. The optimal path planning algorithms have been obtained in terms of maximizing the grazed area per unit time. Finally, the algorithms together with a formation control have been implemented online for nonholonomic robots.
机译:本文考虑了剃刀行为问题,这是最基本的社会行为之一,在机器人团队的形成控制中非常重要。与完全覆盖问题类似,但具有动态移动行为,我们研究了在最短停留时间要求下的一些最佳团队控制规则,这对于完成实际任务是合理的。就最大化每单位时间的掠食面积而言,已经获得了最佳路径规划算法。最后,这些算法以及编队控制已在非完整机器人上在线实现。

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