{"title":"Design and Research of the Grasping Force Feedback Mechanism of Flexible Surgical Robots","authors":"Fuhao Wang, Ye Wang, Qiqi Pan, Jingjing Luo, Hongbo Wang, Xiaoyang Kang, Xueze Zhang","doi":"10.1002/rcs.2667","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Robot-assisted microsurgery (RAMS) is gradually becoming the preferred method for some delicate surgical procedures. However, the lack of haptic feedback reduces the safety of the surgery. Surgeons are unable to feel the grasping force between surgical instruments and the patient's tissues, which can easily lead to grasping failure or tissue damage.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>This paper proposes a tendon-driven grasping force feedback mechanism, consisting of a follower hand and a leader hand, to address the lack of grasping force feedback in flexible surgical robots. Considering the friction in the tendon transmission process, a grasping force estimation model is established for the follower hand. The admittance control model is designed for force/position control of the leader hand.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Through experimental validation, it has been confirmed that the grasping force sensing range of the follower hand is 0.5–5 N, with a sensing accuracy of 0.3 N. The leader hand is capable of providing feedback forces in the range of 0–5 N, with a static force accuracy of 0.1 N.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>The designed mechanism and control strategy can provide the grasping force feedback function. Future work will focus on improving force feedback performance.</p>\n </section>\n \n <section>\n \n <h3> Trial Registration</h3>\n \n <p>This research has no clinical trials.</p>\n </section>\n </div>","PeriodicalId":50311,"journal":{"name":"International Journal of Medical Robotics and Computer Assisted Surgery","volume":"20 4","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Medical Robotics and Computer Assisted Surgery","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/rcs.2667","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"SURGERY","Score":null,"Total":0}
引用次数: 0
Abstract
Background
Robot-assisted microsurgery (RAMS) is gradually becoming the preferred method for some delicate surgical procedures. However, the lack of haptic feedback reduces the safety of the surgery. Surgeons are unable to feel the grasping force between surgical instruments and the patient's tissues, which can easily lead to grasping failure or tissue damage.
Methods
This paper proposes a tendon-driven grasping force feedback mechanism, consisting of a follower hand and a leader hand, to address the lack of grasping force feedback in flexible surgical robots. Considering the friction in the tendon transmission process, a grasping force estimation model is established for the follower hand. The admittance control model is designed for force/position control of the leader hand.
Results
Through experimental validation, it has been confirmed that the grasping force sensing range of the follower hand is 0.5–5 N, with a sensing accuracy of 0.3 N. The leader hand is capable of providing feedback forces in the range of 0–5 N, with a static force accuracy of 0.1 N.
Conclusions
The designed mechanism and control strategy can provide the grasping force feedback function. Future work will focus on improving force feedback performance.
期刊介绍：
The International Journal of Medical Robotics and Computer Assisted Surgery provides a cross-disciplinary platform for presenting the latest developments in robotics and computer assisted technologies for medical applications. The journal publishes cutting-edge papers and expert reviews, complemented by commentaries, correspondence and conference highlights that stimulate discussion and exchange of ideas. Areas of interest include robotic surgery aids and systems, operative planning tools, medical imaging and visualisation, simulation and navigation, virtual reality, intuitive command and control systems, haptics and sensor technologies. In addition to research and surgical planning studies, the journal welcomes papers detailing clinical trials and applications of computer-assisted workflows and robotic systems in neurosurgery, urology, paediatric, orthopaedic, craniofacial, cardiovascular, thoraco-abdominal, musculoskeletal and visceral surgery. Articles providing critical analysis of clinical trials, assessment of the benefits and risks of the application of these technologies, commenting on ease of use, or addressing surgical education and training issues are also encouraged. The journal aims to foster a community that encompasses medical practitioners, researchers, and engineers and computer scientists developing robotic systems and computational tools in academic and commercial environments, with the intention of promoting and developing these exciting areas of medical technology.
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