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Postural synergy based design of exoskeleton robot replicating human arm reaching movements

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单位: [1]Huazhong Univ Sci & Technol, State Key Lab Digital Mfg Equipment & Technol, Inst Rehabil & Med Robot, Wuhan, Hubei, Peoples R China [2]Huazhong Univ Sci & Technol, Tongji Med Coll, Tongji Hosp, Dept Rehabil Med, Wuhan, Hubei, Peoples R China
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关键词: Postural synergies Principal component analysis Mechanical design Exoskeletal rehabilitation robot

摘要:
The concept of postural synergy is recently being widely applied to the mechanical design of prosthesis. However, there are few research literatures on the application of postural synergy in the mechanical design of an exoskeletal rehabilitation robot. In this paper, the reaching movements of human arm are analysed by the principal component analysis method and two most significant synergies of the joints of human arm, which can account for more than 80% of the variation, are extracted. We propose a postural synergy based method to design the kinematic transmission mechanism for a multi-joint upper-limb exoskeletal rehabilitation robot with two actuators. Additionally, the configuration of passive joints and balance weights is put forward to improve the performance of the robot. The postural synergy based design method is formulated for replicating human arm reaching movements. Finally, tests are taken on the prototype to validate the proposed method. Furthermore, the proposed method can be potentially extended to the design of underactuated robotic arm or manipulator which is just required to perform the specific types of movements. (c) 2017 Elsevier B.V. All rights reserved.

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出版当年[2017]版:
大类 | 3 区 工程技术
小类 | 4 区 自动化与控制系统 4 区 计算机:人工智能 4 区 机器人学
最新[2025]版:
大类 | 2 区 计算机科学
小类 | 2 区 自动化与控制系统 3 区 计算机:人工智能 3 区 机器人学
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出版当年[2016]版:
Q2 AUTOMATION & CONTROL SYSTEMS Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Q3 ROBOTICS
最新[2023]版:
Q1 AUTOMATION & CONTROL SYSTEMS Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Q2 ROBOTICS

影响因子: 最新[2023版] 最新五年平均 出版当年[2016版] 出版当年五年平均 出版前一年[2015版] 出版后一年[2017版]

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第一作者单位: [1]Huazhong Univ Sci & Technol, State Key Lab Digital Mfg Equipment & Technol, Inst Rehabil & Med Robot, Wuhan, Hubei, Peoples R China
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通讯机构: [1]Huazhong Univ Sci & Technol, State Key Lab Digital Mfg Equipment & Technol, Inst Rehabil & Med Robot, Wuhan, Hubei, Peoples R China [*1]Luoyu Rd 1037, Wuhan, Hubei, Peoples R China
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