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    Design, Modeling, and Kinematics Analysis of a Modular Cable-Driven Manipulator

    Source: Journal of Mechanisms and Robotics:;2022:;volume( 014 ):;issue: 006::page 64501-1
    Author:
    Ju, Renjie
    ,
    Zhang, Dong
    ,
    Xu, Jiakai
    ,
    Yuan, Hao
    ,
    Miao, Zhiwen
    ,
    Zhou, Mengchu
    ,
    Cao, Zhengcai
    DOI: 10.1115/1.4054206
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Modular manipulators have broad application prospects in the field of narrow confined space owing to their characteristics of superior dexterity. However, compared with traditional ones, their mechanism design, modeling, and inverse kinematics (IK) are challenging due to their special structures and redundant degrees-of-freedom. In this paper, a modular cable-driven manipulator (CDM) is designed. A lightweight and expandable structure is proposed to reduce weight of the whole manipulator and improve its environmental adaptability. To calibrate its global posture, angle sensors are equipped with its joints. Its kinematics are rigorously analyzed. To obtain the IK of a hyper-redundant CDM in real-time, a fast heuristic method with adaptive joint constraints is introduced. Then, a segmented IK strategy is proposed by extending the IK solver to local CDM, which realizes the local joint migration motion under the stable overall configuration. Finally, numerical simulations are conducted and a physical prototype is developed to carry out experiments. The results show that the designed CDM has great performance in dexterity and accuracy.
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      Design, Modeling, and Kinematics Analysis of a Modular Cable-Driven Manipulator

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4283794
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    • Journal of Mechanisms and Robotics

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    contributor authorJu, Renjie
    contributor authorZhang, Dong
    contributor authorXu, Jiakai
    contributor authorYuan, Hao
    contributor authorMiao, Zhiwen
    contributor authorZhou, Mengchu
    contributor authorCao, Zhengcai
    date accessioned2022-05-08T08:19:05Z
    date available2022-05-08T08:19:05Z
    date copyright4/21/2022 12:00:00 AM
    date issued2022
    identifier issn1942-4302
    identifier otherjmr_14_6_064501.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4283794
    description abstractModular manipulators have broad application prospects in the field of narrow confined space owing to their characteristics of superior dexterity. However, compared with traditional ones, their mechanism design, modeling, and inverse kinematics (IK) are challenging due to their special structures and redundant degrees-of-freedom. In this paper, a modular cable-driven manipulator (CDM) is designed. A lightweight and expandable structure is proposed to reduce weight of the whole manipulator and improve its environmental adaptability. To calibrate its global posture, angle sensors are equipped with its joints. Its kinematics are rigorously analyzed. To obtain the IK of a hyper-redundant CDM in real-time, a fast heuristic method with adaptive joint constraints is introduced. Then, a segmented IK strategy is proposed by extending the IK solver to local CDM, which realizes the local joint migration motion under the stable overall configuration. Finally, numerical simulations are conducted and a physical prototype is developed to carry out experiments. The results show that the designed CDM has great performance in dexterity and accuracy.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleDesign, Modeling, and Kinematics Analysis of a Modular Cable-Driven Manipulator
    typeJournal Paper
    journal volume14
    journal issue6
    journal titleJournal of Mechanisms and Robotics
    identifier doi10.1115/1.4054206
    journal fristpage64501-1
    journal lastpage64501-8
    page8
    treeJournal of Mechanisms and Robotics:;2022:;volume( 014 ):;issue: 006
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian