Wearable Robotic Glove Design Using Surface-Mounted Actuators

被引:7
作者
Park, Jaeyoung [1 ]
Hwang, Inchan [2 ]
Lee, Woochan [3 ]
机构
[1] Korea Inst Sci & Technol, Robot & Media Inst, Seoul, South Korea
[2] Seoul Natl Univ, Dept Mech Engn, Seoul, South Korea
[3] Incheon Natl Univ, Dept Elect Engn, Incheon, South Korea
关键词
robotic hand; soft robotics; biomimetic; surface-mounted actuator; anthropomorphic hand; HAND; BENCHMARKING; EXOSKELETON;
D O I
10.3389/fbioe.2020.548947
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
We propose a novel wearable robotic glove or exo-glove design scalable to the variation of the hand kinematics. While most of the traditional robot hand is driven by rotating the joint directly with a rigid body, our exo-glove deforms a robotic finger's skin and, thus, the hand skeleton joints. Multiple tendons woven on the exo-glove's surface can make multi-DOF finger joint motions. We allocated tendons to mimic a hand's intrinsic and extrinsic muscles. Thus, a robotic hand actuated with the exo-glove can perform natural finger motions, including abduction/adduction and flexion/extension of finger joints. Moreover, additional tendons for the thumb enable power grips and the robotic hand's human-like motion. The proposed design approach places all the actuators on the surface without directly actuating any of the hand skeleton's joint. Therefore, a random hand skeleton can work as a robotic hand by putting the wearable robotic glove on it. Thus, the proposed model provides a high degree of freedom on choosing hand skeletons. We expect the aforementioned biomimetic features of our proposed method will benefit not only traditional robotic hands design but also the design of prosthetic hands and robot power-assisted hand glove.
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页数:12
相关论文
共 36 条
  • [1] Novel soft bending actuator-based power augmentation hand exoskeleton controlled by human intention
    Al-Fahaam, Hassanin
    Davis, Steve
    Nefti-Meziani, Samia
    Theodoridis, Theo
    [J]. INTELLIGENT SERVICE ROBOTICS, 2018, 11 (03) : 247 - 268
  • [2] Fostering Progress in Performance Evaluation and Benchmarking of Robotic and Automation Systems
    Bonsignorio, Fabio
    Messina, Elena
    del Pobil, Angel P.
    [J]. IEEE ROBOTICS & AUTOMATION MAGAZINE, 2014, 21 (01) : 22 - 25
  • [3] Butterfass J, 2001, IEEE INT CONF ROBOT, P109, DOI 10.1109/ROBOT.2001.932538
  • [4] Choi I, 2016, 2016 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2016), P986, DOI 10.1109/IROS.2016.7759169
  • [5] ON GRASP CHOICE, GRASP MODELS, AND THE DESIGN OF HANDS FOR MANUFACTURING TASKS
    CUTKOSKY, MR
    [J]. IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION, 1989, 5 (03): : 269 - 279
  • [6] Dawson-Amoah K., 2019, Anatomy, Shoulder and Upper Limb, Hand Intrinsic Muscles
  • [7] Deshpande Ashish D., 2008, 2008 2nd IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics. BioRob 2008, P776, DOI 10.1109/BIOROB.2008.4762911
  • [8] Grasping the Performance Facilitating Replicable Performance Measures via Benchmarking and Standardized Methodologies
    Falco, Joe
    Van Wyk, Karl
    Liu, Shuo
    Carpin, Stefano
    [J]. IEEE ROBOTICS & AUTOMATION MAGAZINE, 2015, 22 (04) : 125 - 136
  • [9] Ficuciello F, 2018, SPR PROC ADV ROBOT, V4, P225, DOI 10.1007/978-3-319-56802-7_24
  • [10] Gama Melo Erika Nathalia, 2014, Ing. Desarro., V32, P279