TY - JOUR
T1 - Development of a Robotic Surgery Training System
AU - Trute, Robin
AU - Suárez Zapico, Carlos
AU - Christou, Andreas
AU - Layeghi, Daniel
AU - Craig, Stewart
AU - Erden, Mustafa Suphi
N1 - Funding Information:
This research has been supported by the Engineering and Physical Sciences Research Council (EPSRC) under the Grant Reference EP/P013872/1 and as part of the CDT in Robotics and Autonomous Systems at Heriot-Watt University under the Grant Reference EP/S023208/1.
Publisher Copyright:
Copyright © 2022 Trute, Zapico, Christou, Layeghi, Craig and Erden.
PY - 2022/1/31
Y1 - 2022/1/31
N2 - Robotic Surgery is getting widely spread and applied to more and more clinical cases due to its advantages compared to open surgery, for both the patients and surgeons. However, Robotic Surgery requires a different set of skills and learning compared to open and also laparoscopic surgery. Tele-operation for a robotic system with hand controllers, the delay in the hand commands to be translated into robotic movements, slowness of the robotic movements, remote 2D or 3D vision of the actual operation, and lack of haptic feedback are some of the challenges that Robotic Surgery poses. Surgeons need to go through an intensive training for Robotic Surgery, and the learning and skill development continues throughout their early professional years. Despite the importance of training for Robotic Surgery, there are not yet dedicated, low-cost, and widespread training platforms; rather, surgeons mostly train with the same Robotic Surgery system they use in surgery; hence institutions need to invest on a separate surgical setup for training purposes. This is expensive for the institutions, it provides very limited access to the surgeons for training, and very limited, if any, access to researchers for experimentation. To address these, we have developed in our laboratory a low-cost, and experimental Robotic Surgery Trainer. This setup replicates the challenges that a Robotic Surgery system poses and further provides widespread access through internet connected control of the actual physical system. The overall system is composed of equipment that a standard engineering laboratory can afford. In this paper, we introduce the Robotic Surgery Training System and explain its development, parts, and functionality.
AB - Robotic Surgery is getting widely spread and applied to more and more clinical cases due to its advantages compared to open surgery, for both the patients and surgeons. However, Robotic Surgery requires a different set of skills and learning compared to open and also laparoscopic surgery. Tele-operation for a robotic system with hand controllers, the delay in the hand commands to be translated into robotic movements, slowness of the robotic movements, remote 2D or 3D vision of the actual operation, and lack of haptic feedback are some of the challenges that Robotic Surgery poses. Surgeons need to go through an intensive training for Robotic Surgery, and the learning and skill development continues throughout their early professional years. Despite the importance of training for Robotic Surgery, there are not yet dedicated, low-cost, and widespread training platforms; rather, surgeons mostly train with the same Robotic Surgery system they use in surgery; hence institutions need to invest on a separate surgical setup for training purposes. This is expensive for the institutions, it provides very limited access to the surgeons for training, and very limited, if any, access to researchers for experimentation. To address these, we have developed in our laboratory a low-cost, and experimental Robotic Surgery Trainer. This setup replicates the challenges that a Robotic Surgery system poses and further provides widespread access through internet connected control of the actual physical system. The overall system is composed of equipment that a standard engineering laboratory can afford. In this paper, we introduce the Robotic Surgery Training System and explain its development, parts, and functionality.
KW - 3D vision
KW - haptic feedback
KW - laparoscopic skill development
KW - minimally-invasive surgery
KW - robotic training
KW - stereo vision
UR - http://www.scopus.com/inward/record.url?scp=85124590355&partnerID=8YFLogxK
U2 - 10.3389/frobt.2021.773830
DO - 10.3389/frobt.2021.773830
M3 - Article
C2 - 35174216
SN - 2296-9144
VL - 8
JO - Frontiers in Robotics and AI
JF - Frontiers in Robotics and AI
M1 - 773830
ER -