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In this paper, we propose a control law for camera-equipped drone networks topursue a target rigid body with unknown motion based on distributed Gaussianprocess. First, we consider the situation where each drone has its own dataset,and learned the unknown target motion in a distributed manner. Second, wepropose a control law using the distributed Gaussian processes, and show thatthe estimation and control errors are ultimately bounded. Furthermore, theeffectiveness of the proposed method is verified by using simulations andexperiments with actual drones.

Distributed Gaussian Process Based Cooperative Visual Pursuit Control for Drone Networks