This paper presents a visual servoing approach for automatic guidance of an instrument. In this approach , the visual sensor is an ultrasound probe that observes an instrument inserted inside the beating heart of a patient and manipulated by a robot. Following the preliminary results presented in [ 1 ] , the present paper provides a new parameterization of the visual feature signal that allows for enhanced robustness , and shows the first in vivo results on this ongoing research .