无标识机器人集群实现动态队形控制的新方法
Distributed Formation Shape Control of Identity-less Robot Swarms
- 用动态描述取代唯一标识,实现局部分布式队形共识
- 无需全局信息,仅靠局部感知即可控制移动、旋转和变形队形
- 适用于大规模同质集群,适合无人系统编队应用
与大多数需要机器人具有唯一标识以识别拓扑邻居的队形策略不同,本文研究同质机器人集群中无标识的分布式队形形成问题,该问题在文献中较少被关注。由于缺乏标识,关键挑战在于如何设计合适的目标队形与局部行为以支持无标识队形控制。为此,本文提出两项新成果:首先,提出一种动态队形描述方法,实现机器人在局部分布式下的队形一致性;其次,基于局部感知信息,提出一种完全分布式的控制律,可处理静态队形外的更一般运动队形,如平移、旋转或形状变形。通过数值仿真与飞行实验验证了所提方法的有效性与鲁棒性。
原文摘要 · Abstract (English)
Different from most of the formation strategies where robots require unique labels to identify topological neighbors to satisfy the predefined shape constraints, we here study the problem of identity-less distributed shape formation in homogeneous swarms, which is rarely studied in the literature. The absence of identities creates a unique challenge: how to design appropriate target formations and local behaviors that are suitable for identity-less formation shape control. To address this challenge, we propose the following novel results. First, to avoid using unique identities, we propose a dynamic formation description method and solve the formation consensus of robots in a locally distributed manner. Second, to handle identity-less distributed formations, we propose a fully distributed control law for homogeneous swarms based on locally sensed information. While the existing methods are applicable to simple cases where the target formation is stationary, ours can tackle more general maneuvering formations such as translation, rotation, or even shape deformation. Both numerical simulation and flight experiment are presented to verify the effectiveness and robustness of our proposed formation strategy.
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