We propose a novel framework for real-time communication-aware coverage control in networked robot swarms. Our framework unifies the robot dynamics with network-level message-routing to reach consensus on swarm formations in the presence of communication uncertainties by leveraging local information. Specifically, we formulate the communication-aware coverage as a cooperative graphical game, and use variational inference to reach mixed strategy Nash equilibria of the stage games. We experimentally validate the proposed approach in a mobile ad-hoc wireless network scenario using teams of aerial vehicles and terrestrial user equipment (UE) operating over a large geographic region of interest. We show that our approach can provide wireless coverage to stationary and mobile UEs under realistic network conditions.
翻译:我们提出了在网络机器人群群中实时通信意识覆盖控制的新框架。 我们的框架将机器人动态与网络级信息路径统一起来,以便通过利用当地信息,在通信不确定的情况下就群成形成达成共识。 具体地说,我们将通信意识覆盖设计成一个合作图形游戏,并使用变式推理方法达到舞台游戏的混合战略Nash 平衡。 我们用航空飞行器和地面用户设备团队在广大感兴趣的地理区域运作,在移动式无线网络情景中实验地验证了拟议方法。 我们表明,我们的方法可以在现实的网络条件下为固定式和移动式铀提供无线覆盖。