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一种助残抓取外手指的运动学建模及抓取质量分析与仿真

刘凌霄 许勇 郭书言 孙伟军

刘凌霄, 许勇, 郭书言, 孙伟军. 一种助残抓取外手指的运动学建模及抓取质量分析与仿真[J]. 上海工程技术大学学报, 2025, 39(1): 37-43, 85. doi: 10.12299/jsues.24-0026
引用本文: 刘凌霄, 许勇, 郭书言, 孙伟军. 一种助残抓取外手指的运动学建模及抓取质量分析与仿真[J]. 上海工程技术大学学报, 2025, 39(1): 37-43, 85. doi: 10.12299/jsues.24-0026
LIU Lingxiao, XU Yong, GUO Shuyan, SUN Weijun. Kinematic modeling and grasp quality analysis and simulation of a supernumerary finger for disabled grasping assistant[J]. Journal of Shanghai University of Engineering Science, 2025, 39(1): 37-43, 85. doi: 10.12299/jsues.24-0026
Citation: LIU Lingxiao, XU Yong, GUO Shuyan, SUN Weijun. Kinematic modeling and grasp quality analysis and simulation of a supernumerary finger for disabled grasping assistant[J]. Journal of Shanghai University of Engineering Science, 2025, 39(1): 37-43, 85. doi: 10.12299/jsues.24-0026

一种助残抓取外手指的运动学建模及抓取质量分析与仿真

doi: 10.12299/jsues.24-0026
详细信息
    作者简介:

    刘凌霄(1996 − ),男,硕士生,研究方向为机器人机构学。E-mail:llingxiao2021@163.com

    通讯作者:

    许 勇(1974 − ),男,副教授,博士,研究方向为机器人机构学。E-mail:brucexuyong@163.com

  • 中图分类号: TH122

Kinematic modeling and grasp quality analysis and simulation of a supernumerary finger for disabled grasping assistant

  • 摘要: 提出一种用于助残抓取的外手指机器人。对外手指进行运动学分析,分别给出外手指弯曲单元和外手指整体在驱动空间、关节空间、操作空间之间的映射关系,以抓取系统的准静态分析为基础,列举5种用于评估抓取质量指标。利用Matlab平台的Syngrasp工具箱,建立人手穿戴外手指时的增强手抓取模型,分别进行手和增强手的抓取仿真,比较抓取质量指标。结果表明,穿戴外手指能够提高人手抓取物品时的抓取质量。
  • 图  1  可穿戴外手指整体示意图

    Figure  1.  Overall diagram of wearable supernumerary finger

    图  2  人手穿戴外手指设备示意图

    Figure  2.  Diagram of human hand wearing supernumerary finger device

    图  3  单个弯曲单元几何模型

    Figure  3.  Geometry model of bending unit

    图  4  弯曲单元关节转角与驱动绳绳长变化量关系

    Figure  4.  Mapping relationship between joint angle and length variation of driving rope of bending unit

    图  5  柔性外手指本体几何模型

    Figure  5.  Geometry model of the soft supernumerary finger

    图  6  外手指指尖的理论轨迹与仿真轨迹对比

    Figure  6.  Comparison of theoretical and simulated trajectories of supernumerary finger tips

    图  7  在缺失某一手指情况下抓取物体

    Figure  7.  Object grasping in the absence of a specific finger

    图  8  Paradigmatic手和增强手抓取物体时各抓取质量指标的对比

    Figure  8.  Comparison of grasp quality indexes of Paradigmatic hand and augmented hand grasping objects respectively

    表  1  弯曲单元参数取值

    Table  1.   Geometric parameters of bending unit 单位:mm

    指节长度a驱动绳定位b指节厚度c关节长度s
    10101213
    下载: 导出CSV
  • [1] 刘德斌, 王旦, 陈柏, 等. 外肢体机器人研究综述[J] . 浙江大学学报(工学版),2021,55(2):251 − 258.
    [2] PRATTICHIZZO D, MALVEZZI M, HUSSAIN I, et al. The sixth-finger: a modular extra-finger to enhance human hand capabilities[C] //Proceedings of IEEE International Symposium on Robot & Human Interactive Communication. Edinburgh: IEEE, 2014: 993−998.
    [3] TIZIANI L, HART A, CAHOON T, et al. Empirical characterization of modular variable stiffness inflatable structures for supernumerary grasp-assist devices[J] . The International Journal of Robotics Research,2017,36(13/14):1391 − 1413. doi: 10.1177/0278364917714062
    [4] CUNNINGHAM J. The supernumerary robotic 3rd thumb for skilled music tasks[C] //Proceedings of 2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob). Enschede: IEEE, 2018.
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    [6] MALVEZZI M, GIOIOSO G, SALVIETTI G, et al. SynGrasp: a Matlab toolbox for grasp analysis of human and robotic hands[C] //Proceedings of IEEE International Conference on Robotics and Automation. Karlsruhe: IEEE, 2013.
    [7] 彭登靖. 基于动作学习与模仿的助老助残智能机器人系统研究与设计[D] . 昆明: 云南大学, 2019.
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出版历程
  • 收稿日期:  2024-01-23
  • 刊出日期:  2025-05-19

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