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Advancement in Gravity Compensation and Control for da Vinci Surgical Robot

Ankit Shaw

Year
2024
Citations
1

Abstract

This research delves into the enhancement of control mechanisms for the da Vinci Surgical System, focusing on the implementation of gravity compensation and refining the modeling of the master and patient side manipulators. Leveraging the Robot Operating System (ROS), the study aimed to fortify the precision and stability of the robot’s movements, essential for intricate surgical procedures. Through rigorous parameter identification and the Euler-Lagrange approach, I successfully derived the necessary torque equations and established a robust mathematical model. Implementation of the actual robot and simulation in Gazebo highlighted the efficacy of the developed control strategies, facilitating accurate positioning and minimizing drift. Additionally, the project extended its contributions by constructing a comprehensive model for the patient-side manipulator, laying the groundwork for future research endeavors. This work signifies a significant advancement in the pursuit of enhanced precision and user control in robotic-assisted surgeries.

Keywords

RobotCompensation (psychology)Computer scienceControl (management)Control theory (sociology)Artificial intelligencePsychology

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