基于“人-机-环”信息流的机器人手术系统研究与展望

doi:10.16451/j.cnki.issn1003-6059.202401004

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Abstract

Robot-assisted surgical systems continue to gain widespread application in various surgical fields, due to their minimally invasive, precise, flexible and tremor-free attributes. However, the advantages of both humans and machines are not fully exploited in the existing robot-assisted surgical systems, and the performance should be improved in the intelligent interaction aspect. Therefore, the development of interactive relationships within robot-assisted surgical systems is analyzed from a systems science perspective and the deficiencies in human-machine interaction are discussed from multiple viewpoints. Then, an "human-machine-environment" information flow framework for robot-assisted surgical systems is constructed. Taking the example of robotic-assisted internal mammary artery acquisition scenarios, the intricate interactions among the "human-machine-environment" different components are illustrated. Finally, based on the theory of "human-machine integration" and the established "human-machine-environment" information flow framework, a design approach for a new generation of robot-assisted surgical systems with the goal of "human-machine integration and intelligent co-development" is proposed. This proposal serves as a valuable reference for realizing the goal of safer and more efficient robotic minimally invasive surgery.

Key words： Metasynthesis Human-Machine System Information Flow Robotic Surgery System

Received: 27 July 2023

ZTFLH:

TP399

Fund:

National Key Research and Development Program of China(No.2022YFB4700805)

Corresponding Authors: ZHENG Nan, Ph.D., associate professor. Her research interests include comprehensive integration of complex systems and data mining information retrieval.

About author:: CUI Haoxin, Master student. His research interests include comprehensive integration of complex systems and data mining information retrieval.WANG Rong, Ph.D., professor. His research interests include robotic minimally invasive heart surgery.ZHANG Song, Ph.D. candidate. His research interests include comprehensive integration of complex systems and data mining information retrieval.REN Tong, Ph.D. candidate. His research interests include robotic minimally invasive heart surgery.LIANG Yujing, Master student. Her research interests include robotic minimally invasive heart surgery.

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Cite this article:

CUI Haoxin,WANG Rong,ZHENG Nan等. Research and Prospect of Robotic Surgical System Based on Human-Machine-Environment Information Flow[J]. Pattern Recognition and Artificial Intelligence, 2024, 37(1): 47-57.

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http://manu46.magtech.com.cn/Jweb_prai/EN/10.16451/j.cnki.issn1003-6059.202401004 OR http://manu46.magtech.com.cn/Jweb_prai/EN/Y2024/V37/I1/47

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