Abstract
A novel, Lyapunov-based visual servo controller is presented that stabilizes both the entire image and pose error vectors simultaneously, rather than a subset of the errors. Furthermore, the controller uses adaptive depth estimation to eliminate the need to measure depth or obtain knowledge of the scene. A stability proof is presented. Simulation and experimental results compare the performance of the proposed method to PBVS, IBVS and 2.5D VS approaches.
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