Robotic Arm for Remote Surgery

TL;DR

This paper presents a robotic arm system designed for remote surgery, featuring infrared detection, precise actuation, and simple control, demonstrating promising performance for cost-effective teleoperated surgical procedures.

Contribution

The study introduces a four-degree-of-freedom robotic arm with infrared-based detection and PI control, providing a cost-effective solution for remote surgical operations with high precision.

Findings

Robotic arm achieves a maximum speed of 0.28 m/s.

Infrared detection resolution is below 0.6 mm/pixel.

System control results in a rise time under 0.5 s.

Abstract

Recent advances in telecommunications have enabled surgeons to operate remotely on patients with the use of robotics. The investigation and testing of remote surgery using a robotic arm is presented. The robotic arm is designed to have four degrees of freedom that track the surgeon's x, y, z positions and the rotation angle of the forearm {\theta}. The system comprises two main subsystems viz. the detecting and actuating systems. The detection system uses infrared light-emitting diodes, a retroreflective bracelet and two infrared cameras which as a whole determine the coordinates of the surgeon's forearm. The actuation system, or robotic arm, is based on a lead screw mechanism which can obtain a maximum speed of 0.28 m/s with a 1.5 degree/step for the end-effector. The infrared detection and encoder resolutions are below 0.6 mm/pixel and 0.4 mm respectively, which ensures the robotic arm can operate precisely. The surgeon is able to monitor the patient with the use of a graphical user interface on the display computer. The lead screw system is modelled and compared to experimentation results. The system is controlled using a simple proportional-integrator (PI) control scheme which is implemented on a dSpace control unit. The control design results in a rise time of less than 0.5 s, a steady-state error of less than 1 mm and settling time of less than 1.4 s. The system accumulates, over an extended period of time, an error of approximately 4 mm due to inertial effects of the robotic arm. The results show promising system performance characteristics for a relatively inexpensive solution to a relatively advanced application.