中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Geometric constraint-based modeling and analysis of a novel continuum robot with Shape Memory Alloy initiated variable stiffness

文献类型:期刊论文

作者Yang CH(杨铖浩)2,3; Geng SN(耿仕能)3; Walker, Ian4; Branson, David T1; Liu JG(刘金国)2; Dai JS(戴建生)3,5; Kang RJ(康荣杰)3
刊名International Journal of Robotics Research
出版日期2020
卷号39期号:14页码:‏ 1620-1634
关键词Soft continuum robot variable stiffness statics model geometric constraint
ISSN号0278-3649
产权排序1
英文摘要

Continuum robots exhibit promising adaptability and dexterity for soft manipulation due to their intrinsic compliance. However, this compliance may lead to challenges in modeling as well as positioning and loading. In this paper, a virtual work-based static model is established to describe the deformation and mechanics of continuum robots with a generic rod-driven structure, taking the geometric constraint of the drive rods into account. Following this, this paper presents a novel variable stiffness mechanism powered by a set of embedded Shape Memory Alloy (SMA) springs, which can make the drive rods become ‘locked’ on the body structure with different configurations. The resulting effects of variable stiffness are then presented in the static model by introducing tensions of the SMA and friction on the rods. Compared with conventional models, there is no need to predefine the actuation forces of the drive rods; instead, actuation displacements are used in this new mechanism system with stiffness being regulated. As a result, the phenomenon that the continuum robot can exhibit an S-shaped curve when subject to single-directional forces is observed and analyzed. Simulations and experiments demonstrated that the presented mechanism has stiffness variation of over 287% and further demonstrated that the mechanism and its model are achievable with good accuracy, such that the ratio of positioning error is less than 2.23% at the robot end-effector to the robot length.

WOS关键词MINIMALLY INVASIVE SURGERY ; DESIGN ; KINEMATICS ; MECHANICS ; DYNAMICS ; SYSTEM
资助项目National Key R&D Program of China[2018YFB1304600] ; National Key R&D Program of China[2019YFB1309800] ; Natural Science Foundation of China[51875393] ; Natural Science Foundation of China[51535008] ; Natural Science Foundation of China[51721003] ; International Collaboration Program[B16034] ; State Key Laboratory of Robotics Foundation-China[2019-O04]
WOS研究方向Robotics
语种英语
WOS记录号WOS:000527746500001
资助机构National Key R&D Program of China (Grant No. 2018YFB1304600, No. 2019YFB1309800) ; Natural Science Foundation of China (Grant No. 51875393, No. 51535008, and No. 51721003) ; International Collaboration Program (Grant No. B16034) ; State Key Laboratory of Robotics Foundation-China (Grant No. 2019-O04)
源URL[http://ir.sia.cn/handle/173321/26722]  
专题沈阳自动化研究所_空间自动化技术研究室
通讯作者Kang RJ(康荣杰)
作者单位1.Faculty of Engineering, University of Nottingham, UK
2.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, China
3.Key Laboratory of Mechanism Theory and Equipment Design of the Ministry of Education, Centre for Advanced Mechanisms and Robotics, Tianjin University, China
4.Department of Electrical and Computer Engineering, Clemson University, USA
5.Centre for Robotics Research, King's College London, United Kingdom
推荐引用方式
GB/T 7714
Yang CH,Geng SN,Walker, Ian,et al. Geometric constraint-based modeling and analysis of a novel continuum robot with Shape Memory Alloy initiated variable stiffness[J]. International Journal of Robotics Research,2020,39(14):‏ 1620-1634.
APA Yang CH.,Geng SN.,Walker, Ian.,Branson, David T.,Liu JG.,...&Kang RJ.(2020).Geometric constraint-based modeling and analysis of a novel continuum robot with Shape Memory Alloy initiated variable stiffness.International Journal of Robotics Research,39(14),‏ 1620-1634.
MLA Yang CH,et al."Geometric constraint-based modeling and analysis of a novel continuum robot with Shape Memory Alloy initiated variable stiffness".International Journal of Robotics Research 39.14(2020):‏ 1620-1634.

入库方式: OAI收割

来源:沈阳自动化研究所

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