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Modelling and identification of the da Vinci Research Kit robotic arms

Giuseppe Andrea Fontanelli, Fanny Ficuciello, Luigi Villani, Bruno Siciliano

Year
2017
Citations
75

Abstract

The da Vinci Research Kit (DVRK) is a telerobotic surgical research platform endowed with an open controller that allows position, velocity and current control. We consider the problem of modelling and identification of both the Patient Side Manipulators (PSMs) and of the Master Tool Manipulators (MTMs) of the platform. This problem is relevant when realistic dynamic simulations have to be performed using standard software tools, but also for the design of model-based control laws, and for the implementation of sensorless strategies for collision detection or contact force estimation. A LMI-based approach is used for the identification of the robot dynamics in order to guarantee the physical feasibility of the parameters that is not ensured by standard least-squares methods. The identified models are validated experimentally.

Keywords

Identification (biology)Controller (irrigation)Computer scienceSoftwareRobotControl engineeringPosition (finance)Robot manipulatorSurgical robotControl theory (sociology)

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