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Nicola Diolaiti

Researcher at Intuitive Surgical

Publications -  47
Citations -  2902

Nicola Diolaiti is an academic researcher from Intuitive Surgical. The author has contributed to research in topics: Haptic technology & Controller (computing). The author has an hindex of 24, co-authored 47 publications receiving 2857 citations. Previous affiliations of Nicola Diolaiti include University of Bologna.

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Patent

Control system configured to compensate for non-ideal actuator-to-joint linkage characteristics in a medical robotic system

TL;DR: In this article, a medical robotic system with non-ideal actuator-to-joint linkage characteristics, including a control system including a proximal control loop with actuator sensor feedback to control dynamic response of an actuator coupled to a distal joint which in turn, is coupled to an end effector to provide a degree of freedom movement of the end-effector.
Journal ArticleDOI

Stability of Haptic Rendering: Discretization, Quantization, Time Delay, and Coulomb Effects

TL;DR: A study of this problem, which relates the maximum achievable object stiffness to the elements of the control loop, examines how the sampling rate, quantization, computational delay, and amplifier dynamics interact with the inertia, natural viscous, and Coulomb damping of the haptic device.
Journal ArticleDOI

Contact impedance estimation for robotic systems

TL;DR: This paper considers a single-point contact, and the (nonlinear) Hunt-Crossley model is taken into account, instead of the classical (linear) Kelvin-Voigt model, which achieves a better physical consistency and also allows describing the behavior of soft materials.
Patent

Medical robotic system with coupled control modes

TL;DR: In this article, a surgeon directly controls movement of an associated slave manipulator with an input device while indirectly controlling movement of one or more non-associated slave manipulators, in response to commanded motion of the directly controlled manipulator, to achieve a secondary objective.
Patent

Minimally invasive surgical system

TL;DR: In this article, a control and transform processor receives data from a master arm controller, an instrument, an imaging system controller, and a guide tube controller and distributes data received from one controller to the other controllers.