Advancements in Gravity Compensation and Control for the da Vinci Surgical Robot

Fuente: arXiv
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Auteur principal: Shaw, Ankit
Format: Preprint
Publié: 2024
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author Shaw, Ankit
author_facet Shaw, Ankit
contents 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 robots movements essential for intricate surgical procedures. Through rigorous parameter identification and the Euler Lagrange approach the team 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. NOTE - This work has been submitted to the IEEE for publication. Copyright may be transferred without notice, after which this version may no longer be accessible. Copyright on this article is reserved by IEEE
format Preprint
id arxiv_https___arxiv_org_abs_2405_11114
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Advancements in Gravity Compensation and Control for the da Vinci Surgical Robot
Shaw, Ankit
Robotics
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 robots movements essential for intricate surgical procedures. Through rigorous parameter identification and the Euler Lagrange approach the team 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. NOTE - This work has been submitted to the IEEE for publication. Copyright may be transferred without notice, after which this version may no longer be accessible. Copyright on this article is reserved by IEEE
title Advancements in Gravity Compensation and Control for the da Vinci Surgical Robot
topic Robotics
url https://arxiv.org/abs/2405.11114