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Unknown fruit motion due to exogenous disturbances such as wind gust, canopy unloading, and particularly, fruit detachment forces can reduce overall harvesting efficiency in robotic fruit harvesting. Existing approaches relying on high-gain controllers to compensate for fruit motion are inherently susceptible to measurement noise and can lead to instability. The contribution of this paper is in the development of a robust image-based visual servo controller to regulate a robotic manipulator to a target fruit in the presence of unknown fruit motion. The robust feedback elements included in the control structure compensate for non-vanishing nonlinear disturbances without the need for high-gain feedback. Lyapunov-based stability analysis guarantees uniformly ultimately bounded regulation of the robot end-effector to a target fruit. In addition, finite-time convergence analysis is presented to show that the controller gains …