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Formation Control of Mobile Robots Using Multiple Aerial Cameras

机译:使用多个航空摄像机的移动机器人编队控制

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This paper describes a new vision-based control method to drive a set of robots moving on the ground plane to a desired formation. As the main contribution, we propose to use multiple camera-equipped unmanned aerial vehicles (UAVs) as control units. Each camera views, and is used to control, a subset of the ground team. Thus, the method is partially distributed, combining the simplicity of centralized schemes with the scalability and robustness of distributed strategies. Relying on a homography computed for each UAV-mounted camera, our approach is purely image-based and has low computational cost. In the control strategy we propose, if a robot is seen by multiple cameras, it computes its motion by combining the commands it receives. Then, if the intersections between the sets of robots viewed by the different cameras satisfy certain conditions, we formally guarantee the stabilization of the formation, considering unicycle robots. We also propose a distributed algorithm to control the camera motions that preserves these required overlaps, using communications. The effectiveness of the presented control scheme is illustrated via simulations and experiments with real robots.
机译:本文介绍了一种新的基于视觉的控制方法,该方法可驱动一组在地面上移动到所需编队的机器人。作为主要贡献,我们建议使用配备多个摄像头的无人机(UAV)作为控制单元。每个摄像机都查看并用于控制地面小组的一个子集。因此,该方法是部分分布式的,将集中式方案的简单性与分布式策略的可伸缩性和鲁棒性相结合。依靠为每个安装了无人机的摄像机计算的单应性,我们的方法完全基于图像,并且计算成本较低。在我们提出的控制策略中,如果一个机器人被多个摄像机看到,它会通过组合接收到的命令来计算其运动。然后,如果不同摄像机所观察到的各组机器人之间的交点满足特定条件,则考虑单轮机器人,我们可以正式保证编队的稳定性。我们还提出了一种分布式算法来控制摄像机的运动,并使用通信来保留这些所需的重叠。通过实际机器人的仿真和实验说明了所提出的控制方案的有效性。

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