SUMMARYThis paper investigates vision-based robot control via a receding horizon control strategy for fixed camera systems, as stabilizing predictive visual feedback control. First, a visual motion robot error system with a fixed camera configuration is reconstructed in order to improve estimation performance. Next, stabilizing receding horizon control for three-dimensional visual feedback systems, which are highly nonlinear and relatively fast systems, is proposed. The stability of the receding horizon control scheme is guaranteed by using a terminal cost derived from an energy function of the visual motion robot error system. Furthermore, simulation and actual nonlinear experimental results are assessed with respect to stability and performance.