Qian Gao;Guanglin Ji;Minyi Sun;Yin Xiao;Huaiyuan Rao;Zhenglong Sun
{"title":"Dynamic Hysteresis Compensation for Tendon-Sheath Mechanism in Flexible Surgical Robots Without Distal Perception","authors":"Qian Gao;Guanglin Ji;Minyi Sun;Yin Xiao;Huaiyuan Rao;Zhenglong Sun","doi":"10.1109/TRO.2025.3577011","DOIUrl":null,"url":null,"abstract":"The accurate position transmission of tendon-sheath mechanisms (TSMs) is challenging but of significance to the flexible robot for minimally invasive surgery. The challenges are mainly attributed to the following: first, the tendon-elongation and its caused hysteresis that depend on the route configuration of the TSM and could result in misaligned position transmission; second, realistic surgical scenarios requiring the TSM with arbitrary and even time-varying route configurations; and third the absence of distal sensory feedback due to strict spatial constraints. Existing works are always devoted to tackling the first challenge yet evade the second and third. Here, a route-related tendon-elongation model is formulated to resolve the first challenge, and in response to the second, a route-sensing optical fiber is used. Obeying the third challenge, a feedforward hysteresis compensator is then developed to align the distal position of the tendon with the desired position. Our final contribution gives an application-oriented remedy for the foregoing methodologies. Applying our compensator on the challenging position transmission tasks subject to second and third challenges, the positional accuracy can be still maintained at around 97.50%; guided by the provided remedy, the surgical end-effector achieves submillimeter tip position accuracy. Extensive tests demonstrate that the pending concerns yet of great practical importance in existing related works are well resolved.","PeriodicalId":50388,"journal":{"name":"IEEE Transactions on Robotics","volume":"41 ","pages":"3703-3721"},"PeriodicalIF":9.4000,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Robotics","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/11024203/","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ROBOTICS","Score":null,"Total":0}
引用次数: 0
Abstract
The accurate position transmission of tendon-sheath mechanisms (TSMs) is challenging but of significance to the flexible robot for minimally invasive surgery. The challenges are mainly attributed to the following: first, the tendon-elongation and its caused hysteresis that depend on the route configuration of the TSM and could result in misaligned position transmission; second, realistic surgical scenarios requiring the TSM with arbitrary and even time-varying route configurations; and third the absence of distal sensory feedback due to strict spatial constraints. Existing works are always devoted to tackling the first challenge yet evade the second and third. Here, a route-related tendon-elongation model is formulated to resolve the first challenge, and in response to the second, a route-sensing optical fiber is used. Obeying the third challenge, a feedforward hysteresis compensator is then developed to align the distal position of the tendon with the desired position. Our final contribution gives an application-oriented remedy for the foregoing methodologies. Applying our compensator on the challenging position transmission tasks subject to second and third challenges, the positional accuracy can be still maintained at around 97.50%; guided by the provided remedy, the surgical end-effector achieves submillimeter tip position accuracy. Extensive tests demonstrate that the pending concerns yet of great practical importance in existing related works are well resolved.
期刊介绍:
The IEEE Transactions on Robotics (T-RO) is dedicated to publishing fundamental papers covering all facets of robotics, drawing on interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, and beyond. From industrial applications to service and personal assistants, surgical operations to space, underwater, and remote exploration, robots and intelligent machines play pivotal roles across various domains, including entertainment, safety, search and rescue, military applications, agriculture, and intelligent vehicles.
Special emphasis is placed on intelligent machines and systems designed for unstructured environments, where a significant portion of the environment remains unknown and beyond direct sensing or control.