Predictive visual feedback control with eye-in/to-hand configuration via stabilizing receding horizo

This paper investigates vision based robot control via a receding horizon control strategy for an eye-in/to-hand system, as a predictive visual feedback control. Firstly, the dynamic visual feedback system with the eye-in/to-hand configuration is reconstructed in order to improve the performance of the estimation. Next, a stabilizing receding horizon control for the 3D dynamic visual feedback system, a highly nonlinear and relatively fast system, is proposed. The stability of the receding horizon control scheme is guaranteed by using the terminal cost derived from an energy function of the visual feedback system. Furthermore, simulation results are assessed with respect to the stability and the performance.