中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Toward Intrinsic Force Sensing and Control in Parallel Soft Robots

文献类型:期刊论文

作者Lindenroth, Lukas3,4; Stoyanov, Danail4; Rhode, Kawal2; Liu, Hongbin1,2,5
刊名IEEE-ASME TRANSACTIONS ON MECHATRONICS
出版日期2022-10-05
页码12
关键词Robot sensing systems Force Sensors Robots Soft robotics Actuators Hydraulic systems Force control force feedback hydraulic actuators soft robotics
ISSN号1083-4435
DOI10.1109/TMECH.2022.3210065
通讯作者Lindenroth, Lukas(lukas.lindenroth@kcl.ac.uk) ; Liu, Hongbin(hongbin.liu@kcl.ac.uk)
英文摘要With soft robotics being increasingly employed in settings demanding high and controlled contact forces, recent research has demonstrated the use of soft robots to estimate or intrinsically sense forces without requiring external sensing mechanisms. While this has mainly been shown in tendon-based continuum manipulators or deformable robots comprising of push-pull rod actuation, fluid drives still pose great challenges due to high actuation variability and nonlinear mechanical system responses. In this work, we investigate the capabilities of a hydraulic, parallel soft robot to intrinsically sense and subsequently control contact forces. A comprehensive algorithm is derived for static, quasi-static, and dynamic force sensing, which relies on fluid volume and pressure information of the system. The algorithm is validated for a single degree-of-freedom soft fluidic actuator. Results indicate that axial forces acting on a single actuator can be estimated with mean error of 0.56 +/- 0.66 N within the validated range of 0-6 N in a quasi-static configuration. The force sensing methodology is applied to force control in a single actuator as well as the coupled parallel robot. It can be seen that forces are controllable for both systems, with the capability of controlling directional contact forces in case of the multidegree-of-freedom parallel soft robot.
WOS关键词CONTACT FORCE ; POSITION
资助项目InnoHK initiative of the Hong Kong SAR ; EPSRC of the UK[EP/R013977/1]
WOS研究方向Automation & Control Systems ; Engineering
语种英语
WOS记录号WOS:000865085500001
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构InnoHK initiative of the Hong Kong SAR ; EPSRC of the UK
源URL[http://ir.ia.ac.cn/handle/173211/50322]  
专题智能微创医疗技术团队
中国科学院自动化研究所
通讯作者Lindenroth, Lukas; Liu, Hongbin
作者单位1.Chinese Acad Sci, Inst Automat, Beijing 100045, Peoples R China
2.Kings Coll London, Sch Biomed Engn & Imaging Sci, London WC2R 2LS, England
3.Kings Coll London, Sch Biomed Engn & Imaging Sci, Dept Surg & Intervent Engn, London WC2R 2LS, England
4.UCL, Wellcome EPSRC Ctr Intervent & Surg Sci WEISS, London W1W 7EJ, England
5.Chinese Acad Sci, Ctr AI & Robot CAIR, Hong Kong Inst Sci & Innovat, Beijing 100045, Peoples R China
推荐引用方式
GB/T 7714
Lindenroth, Lukas,Stoyanov, Danail,Rhode, Kawal,et al. Toward Intrinsic Force Sensing and Control in Parallel Soft Robots[J]. IEEE-ASME TRANSACTIONS ON MECHATRONICS,2022:12.
APA Lindenroth, Lukas,Stoyanov, Danail,Rhode, Kawal,&Liu, Hongbin.(2022).Toward Intrinsic Force Sensing and Control in Parallel Soft Robots.IEEE-ASME TRANSACTIONS ON MECHATRONICS,12.
MLA Lindenroth, Lukas,et al."Toward Intrinsic Force Sensing and Control in Parallel Soft Robots".IEEE-ASME TRANSACTIONS ON MECHATRONICS (2022):12.

入库方式: OAI收割

来源:自动化研究所

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