• Login
    View Item 
    •   DSpace Home
    • ASME
    • Journal of Mechanisms and Robotics
    • View Item
    •   DSpace Home
    • ASME
    • Journal of Mechanisms and Robotics
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Design and Implementation of a Synergy-Based Cable-Driven Humanoid Arm With Variable Stiffness

    Thumbnail
    View/Open
    jmr_16_4_041002.pdf (1.784Mb)
    Date
    2023
    Author
    Xiao, Hang
    Tang, Jianyin
    Lyu, Shengnan
    Xu, Kun
    Ding, Xilun
    Metadata
    Show full item record
    Abstract
    Cable-driven arms have the advantages of light weight, large workspace, good compliance, high-speed, and acceleration. This paper proposes a cable-driven variable stiffness humanoid arm that can reproduce typical daily postures of the upper limb with a few actuators via kinematic synergy. A kinematic model of the arm is established to obtain the design parameters corresponding to different postures. The dimension reduction of the actuation is realized through a synergy analysis of the driving cables. A coupling actuation mechanism is designed to reduce the number of actuators required to generate specific postures of the arm via cables. Optimization of the geometric parameters of the joints is conducted to improve posture reproduction accuracy. The stiffness of the arm could be regulated by adjusting the cable tension. Stiffness modeling of the joint is performed to evaluate the influence of cable tension. A prototype of the arm is designed. The workspace is analyzed under the actuation of the designed coupling mechanism. The transformation among the targeted postures is simulated to validate the feasibility of the actuation dimension reduction design of the arm. Robustness analysis is conducted which indicates the use of synergic actuation weakens the arm's robustness. With the proposed dimension reduction method, the actuation dimensions are reduced from 9 to 4, which leads to the diminution of the reachable workspace and manipulability. The reproduction accuracy of the targeted postures is 84.3%. The proposed method can be applied to the dimension reduction designs of other cable-driven robots.
    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4292236
    Collections
    • Journal of Mechanisms and Robotics

    DSpace software copyright © 2002-2015  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    @mire NV
     

     

    Browse

    All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Statistics

    View Usage Statistics

    DSpace software copyright © 2002-2015  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    @mire NV