This paper investigates visual feedback pose (position and attitude) synchronization in leaderfollowing
type visibility structures on the Special Euclidean group SE(3). We rst dene visual
robotic networks for multiple camera models. We then propose a visual feedback pose synchronization
law combining a vision-based observer with the pose synchronization law presented in our
previous works. We then prove that for a static leader, the present control law on the network
achieves visual feedback pose synchronization. Moreover, for a moving leader, we evaluate the tracking
performance of the network by employing the notion of L2-gain performance. Finally, the validity
of the present control law and analysis is demonstrated through experiments.
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