Robotic uncalibrated hand-eye coordination based on the extended state observer

This paper proposes a standard control method to approach the uncalibrated robotic hand-eye coordination problem, which is system configuration- and task-independent. The coordination problem is first modeled by a dynamic system, where the unknown hand-eye relationship is regarded as system´s modeling errors. An extended state observer is then designed to estimate impacts of this modeling error together with the system´s external disturbances. With the estimation results as the compensation, the system control is thus accomplished based on a nonlinear combination of the system state errors. Experimental results are presented to verify the efficacy of the proposed approach and highlight the satisfactory performance.