中文版 | English
Title

GESRsim: Gastrointestinal Endoscopic Surgical Robot Simulator

Author
DOI
Publication Years
2022
Conference Name
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
ISSN
2153-0858
ISBN
978-1-6654-7928-8
Source Title
Pages
9542-9549
Conference Date
23-27 Oct. 2022
Conference Place
Kyoto, Japan
Publication Place
345 E 47TH ST, NEW YORK, NY 10017 USA
Publisher
Abstract
Robot-assisted gastrointestinal endoscopic surgery (GES) as a kind of natural orifice transluminal endoscopic surgery (NOTES) is the next-generation minimally invasive surgery (MIS). Besides, rendering certain autonomy to a Gastrointestinal Endoscopic Surgical Robot (GESR) is promising but highly challenging. Therefore, to accelerate the development and augment the autonomy of GESR, we use CoppeliaSim to develop the first robotic simulator for the GESR system (GESRsim) based on our previous design. The GESRsim provides several 3D models and kinematics of our designed manipulators and endoscopic snake bone. Additionally, we build several scenes for robotic GES training and then utilize different programming interfaces to perform teleoperation. Furthermore, several advanced control algorithms, including visual servoing (VS) and deep reinforcement learning (DRL), are implemented to verify the performance of the GESRsim.
Keywords
SUSTech Authorship
Others
Language
English
URL[Source Record]
Indexed By
Funding Project
National Key R&D Program of China from the Ministry of Science and Technology (MOST) of China["2018YFB1307700","2018YFB1307703"] ; Hong Kong Research Grants Council (RGC) Collaborative Research Fund[C4063-18G:2300056] ; Shun Hing Institute of Advanced Engineering at the Chinese University of Hong Kong (CUHK)["BME-p1-21","8115064"] ; Hong Kong Research Grants Council (RGC-GRF) project[14211420] ; Funding Scheme for Virtual Teaching and Learning[3212141]
WOS Research Area
Automation & Control Systems ; Computer Science ; Engineering ; Robotics
WOS Subject
Automation & Control Systems ; Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic ; Robotics
WOS Accession No
WOS:000909405302009
Data Source
IEEE
PDF urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9982138
Citation statistics
Cited Times [WOS]:0
Document TypeConference paper
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/420616
DepartmentDepartment of Electrical and Electronic Engineering
Affiliation
1.NUS (Suzhou) Research Institute, Suzhou, China
2.School of Mechatronic Engineering, Beijing Institute of Technology, Beijing, China
3.Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China
4.Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore
5.Department of Gastroenterology, Qilu Hospital of Shandong University, Jinan, China
6.Department of Electronic Engineering, The Chinese University of Hong Kong, Hongkong, China
Recommended Citation
GB/T 7714
Huxin Gao,Zedong Zhang,Changsheng Li,et al. GESRsim: Gastrointestinal Endoscopic Surgical Robot Simulator[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2022:9542-9549.
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