Advances in Flexible Robotic Manipulator Systems-Part I: Overview and Dynamics Modeling Methods
文献类型:期刊论文
作者 | Li, Bai4; Li, Xinyuan1; Gao, Hejia5; Wang, Fei-Yue2,3![]() |
刊名 | IEEE-ASME TRANSACTIONS ON MECHATRONICS
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出版日期 | 2024-02-15 |
页码 | 11 |
关键词 | Artificial intelligence (AI) dynamic modeling flexibility flexible robotic manipulator (FRM) vibration suppression |
ISSN号 | 1083-4435 |
DOI | 10.1109/TMECH.2024.3359067 |
通讯作者 | Gao, Hejia(hjgao@ahu.edu.cn) ; Wang, Fei-Yue(feiyue@ieee.org) |
英文摘要 | Flexible robotic manipulators (FRMs) exhibit advantages over traditional rigid-body manipulators, including lower energy consumption, faster response, enhanced safety, reduced spatial footprint, and greater operational flexibility. This article reviews the advancements in the modeling, planning, and control technologies of FRMs, along with their applications and perspectives. Compared with previous survey papers about FRMs, this work has the following highlights. First, modeling methods w.r.t. joint flexibility, link flexibility, and link-joint coupling effects are systematically reviewed; second, FRM motion planning methods are reviewed solely instead of being treated as part of FRM control methods; third, this survey presents the recent advancements in FRMs that incorporate artificial intelligence (AI), acknowledging AI as a prevalent research trend; and finally, this is the only survey to systematically explore the rapidly evolving applications of FRM systems over the past five years. Our work is divided into two independent articles. This article, which is the first one, includes the basic background of FRMs, an overview of previous FRM-related surveys, and dynamic modeling methods for FRMs. The second article will review the prevalent motion planning and control methods for an FRM, together with FRM applications and perspectives. |
WOS关键词 | TRANSFER-MATRIX METHOD ; LINK MANIPULATORS ; 2-LINK MANIPULATOR ; SPACE MANIPULATOR ; MULTIBODY SYSTEMS ; VIBRATION CONTROL ; INDUSTRIAL ROBOT ; ASSUMED MODES ; JOINT ; EQUATIONS |
资助项目 | National Natural Science Foundation of China |
WOS研究方向 | Automation & Control Systems ; Engineering |
语种 | 英语 |
WOS记录号 | WOS:001177088000001 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
资助机构 | National Natural Science Foundation of China |
源URL | [http://ir.ia.ac.cn/handle/173211/56963] ![]() |
专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队 |
通讯作者 | Gao, Hejia; Wang, Fei-Yue |
作者单位 | 1.Hunan Univ, Coll Mech & Vehicle Engn, Changsha 410082, Peoples R China 2.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 3.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 4.Hunan Univ, State Key Lab Adv Design & Mfg Vehicle Body, Changsha 410082, Peoples R China 5.Anhui Univ, Sch Artificial Intelligence, Hefei 230601, Peoples R China |
推荐引用方式 GB/T 7714 | Li, Bai,Li, Xinyuan,Gao, Hejia,et al. Advances in Flexible Robotic Manipulator Systems-Part I: Overview and Dynamics Modeling Methods[J]. IEEE-ASME TRANSACTIONS ON MECHATRONICS,2024:11. |
APA | Li, Bai,Li, Xinyuan,Gao, Hejia,&Wang, Fei-Yue.(2024).Advances in Flexible Robotic Manipulator Systems-Part I: Overview and Dynamics Modeling Methods.IEEE-ASME TRANSACTIONS ON MECHATRONICS,11. |
MLA | Li, Bai,et al."Advances in Flexible Robotic Manipulator Systems-Part I: Overview and Dynamics Modeling Methods".IEEE-ASME TRANSACTIONS ON MECHATRONICS (2024):11. |
入库方式: OAI收割
来源:自动化研究所
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