Abstract

Although some robotic systems have been developed to improve conventional flexible ureteroscopy (FURS), a widely used intervention in urology, these robots rarely have a comprehensive force feedback function which is important for master-slave controlled surgical robots. Here, we design and fabricate a novel FURS robot with a comprehensive force feedback function. Moreover, to realize better force feedback, a neural network-based method is also demonstrated to estimate the interactive forces between the flexible ureteroscope and the environment. We show that when teleoperating the flexible ureteroscope with our robot, the operator can accurately feel the obstruction if the interactive axial force or torque exceeds 1.2N or 15.6mN·m respectively. For bending movement, augmented force feedback greatly improves the accuracy of the operator's perception of obstruction. The developed robotic system with force feedback is expected to improve the safety of robot-assisted FURS.

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