[Overview of Key Technologies in Surgical Robots and Optimization Discussions].

Journal: Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
PMID: 39463081

Abstract

Surgical robot is the national strategic diagnostic and therapeutic equipment research focus, get a number of scientific research institutes, colleges and universities and enterprises pay extensive attention to the design and development of a variety of surgical robots, and registration declaration. This article explores the critical technologies of surgical robots and key areas for optimizing their performance, including kinematic positioning errors, pose errors, feedback model errors, image recognition positioning errors, path planning, and safety aspects. The findings not only provide a scientific basis for future standardization research on surgical robots but also offer significant theoretical and practical references for the research, manufacturing, and registration processes in the medical robotics industry.

Authors

  • Xunjun Ma
    School of Medical Information and Engineering, Xuzhou Medical University, Xuzhou, 221004.
  • Jun Yu
  • Haitao Liu
    Key Disciplines Lab of Novel Micro-nano Devices and System Technology, Chongqing University, Chongqing 400030, China; Key Laboratory for Optoelectronic Technology & System of Ministry of Education, Chongqing University, Chongqing 400044, China.
  • Ya Li
    a State Key Laboratory of Applied Organic Chemistry, College of Chemistry and Chemical Engineering , Lanzhou University , Lanzhou , People's Republic of China.
  • Hao Wu
    Zhejiang Institute of Tianjin University (Shaoxing), Shaoxing, China.
  • Yanbo Huang
    United States Department of Agriculture, Crop Production Systems Research Unit, Agricultural Research Service, Stoneville, MS, USA.
  • Bide Xu
    Institute of Translational Medicine, Shanghai Jiao Tong University, Shanghai, 200240.
  • Li Lin
    Department of Cardiology, Lishui Central Hospital and the Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China.
  • Jinwu Wang
    Research Institute of Med-X, Shanghai Jiao Tong University, Shanghai, China.

Keywords

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