{"title":"An overview of stiffening approaches for continuum robots","authors":"Yeman Fan , Bowen Yi , Dikai Liu","doi":"10.1016/j.rcim.2024.102811","DOIUrl":null,"url":null,"abstract":"<div><p>Continuum robots have become more popular recently due to their scalable dexterity and mobility. However, they may suffer from issues like insufficient stiffness because they are designed to promote their flexibility. To address this issue and further improve their performance in all different application scenarios, stiffness flexibility is essential for this type of robot. Therefore, it is necessary to integrate <em>stiffening</em> techniques into both their mechanical structure and actuation approaches when developing continuum robots. To this end, it is crucial to explore how different stiffening approaches can be applied to various types of continuum robots across diverse applications. The primary goal of this survey paper is to provide a comprehensive review of the state-of-the-art research on stiffening techniques for continuum robots over the last two decades. We thoroughly analyse key techniques related to stiffness tunability mechanisms and stiffening methods. Additionally, we categorise these stiffening approaches on the basis of their properties and seek to understand the factors that limit their performance. This survey paper aims to assist robotic engineers in selecting appropriate stiffening techniques when designing continuum robots and serve as a basis for developing potential next-generation stiffening mechanisms.</p></div>","PeriodicalId":21452,"journal":{"name":"Robotics and Computer-integrated Manufacturing","volume":"90 ","pages":"Article 102811"},"PeriodicalIF":9.1000,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Robotics and Computer-integrated Manufacturing","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S073658452400098X","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Continuum robots have become more popular recently due to their scalable dexterity and mobility. However, they may suffer from issues like insufficient stiffness because they are designed to promote their flexibility. To address this issue and further improve their performance in all different application scenarios, stiffness flexibility is essential for this type of robot. Therefore, it is necessary to integrate stiffening techniques into both their mechanical structure and actuation approaches when developing continuum robots. To this end, it is crucial to explore how different stiffening approaches can be applied to various types of continuum robots across diverse applications. The primary goal of this survey paper is to provide a comprehensive review of the state-of-the-art research on stiffening techniques for continuum robots over the last two decades. We thoroughly analyse key techniques related to stiffness tunability mechanisms and stiffening methods. Additionally, we categorise these stiffening approaches on the basis of their properties and seek to understand the factors that limit their performance. This survey paper aims to assist robotic engineers in selecting appropriate stiffening techniques when designing continuum robots and serve as a basis for developing potential next-generation stiffening mechanisms.
期刊介绍:
The journal, Robotics and Computer-Integrated Manufacturing, focuses on sharing research applications that contribute to the development of new or enhanced robotics, manufacturing technologies, and innovative manufacturing strategies that are relevant to industry. Papers that combine theory and experimental validation are preferred, while review papers on current robotics and manufacturing issues are also considered. However, papers on traditional machining processes, modeling and simulation, supply chain management, and resource optimization are generally not within the scope of the journal, as there are more appropriate journals for these topics. Similarly, papers that are overly theoretical or mathematical will be directed to other suitable journals. The journal welcomes original papers in areas such as industrial robotics, human-robot collaboration in manufacturing, cloud-based manufacturing, cyber-physical production systems, big data analytics in manufacturing, smart mechatronics, machine learning, adaptive and sustainable manufacturing, and other fields involving unique manufacturing technologies.