Transformation of foldable robotic hand to scissor-like shape for pinching based on human hand movement

被引:0
|
作者
Hidetoshi Ikeda
Takumi Saeki
机构
[1] Niigata Institute of Technology,Department of Engineering
[2] National Institute of Technology,Department of Mechanical Engineering
[3] Toyama College,undefined
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Increasing the number of degrees of freedom for multi-finger robotic hands is necessary to achieve high performance. However, this increases structural complexity and the obtained improvement may be small. Humans change the shape of their hands by extending or bending the fingers to apply force to an object through contact with a wide surface or two or more fingers. In some cases, continuous finger movements are not necessary or some fingers do not make contact with the object. A robotic hand with a small number of degrees of freedom could effectively use its fingers to perform many tasks by properly arranging the fingers, increasing the movable range of joints, and utilizing the back and sides of the fingers. This paper proposes a hand system and conducts a theoretical analysis of the transformation of the hand shape into a scissor-like motion to handle a cylindrical object. It is found that the scissor-like motion is unsuitable for cylindrical objects that exceed a certain size. Experiments show the effectiveness of the proposed hand system. The correlation between the contact position of a finger with an object and the success ratio of pinching is demonstrated. Furthermore, a control system that can switch from pinching to grasping when the robot judges that pinching is difficult is developed and experimentally validated.
引用
收藏
相关论文
共 49 条
  • [41] A touch-free human-robot collaborative surgical navigation robotic system based on hand gesture recognition
    Wang, Jie
    Zhang, Xinkang
    Chen, Xinrong
    Song, Zhijian
    [J]. FRONTIERS IN NEUROSCIENCE, 2023, 17
  • [42] An examination of a relation between hand height position and motion duration on the human sagittal plane movement based on the minimization principle
    Wada, Y
    Aiba, T
    Fukuzawa, K
    [J]. NEUROCOMPUTING, 2001, 38 (38-40) : 1581 - 1587
  • [43] The DEXMART hand: Mechatronic design and experimental evaluation of synergy-based control for human-like grasping
    Palli, G.
    Melchiorri, C.
    Vassura, G.
    Scarcia, U.
    Moriello, L.
    Berselli, G.
    Cavallo, A.
    De Maria, G.
    Natale, C.
    Pirozzi, S.
    May, C.
    Ficuciello, F.
    Siciliano, B.
    [J]. INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2014, 33 (05): : 799 - 824
  • [44] Learning Human Reach-to-Grasp Strategies: Towards EMG-based Control of Robotic Arm-Hand Systems
    Liarokapis, Minas V.
    Artemiadis, Panagiotis K.
    Katsiaris, Pantelis T.
    Kyriakopoulos, Kostas J.
    Manolakos, Elias S.
    [J]. 2012 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2012, : 2287 - 2292
  • [45] Human-machine interaction control based on force myograph and electrical stimulation sensory feedback for multi-DOF robotic hand
    Li, Nan
    Liu, Bo
    Huo, Hong
    Ye, Yuxuan
    Jiang, Li
    [J]. Jiqiren/Robot, 2015, 37 (06): : 718 - 724
  • [46] Robotic Assistance for Physical Human-Robot Interaction Using a Fuzzy RBF Hand Impedance Compensator and a Neural Network Based Human Motion Intention Estimator
    Chien, Shih-Hsuan
    Wang, Jyun-Hsiang
    Cheng, Ming-Yang
    [J]. IEEE ACCESS, 2021, 9 : 126048 - 126057
  • [47] A state-based probabilistic method for decoding hand position during movement from ECoG signals in non-human primate
    Farrokhi, Behraz
    Erfanian, Abbas
    [J]. JOURNAL OF NEURAL ENGINEERING, 2020, 17 (02)
  • [48] Research on human-robot interaction for robotic spatial 3D printing based on real-time hand gesture control
    Shi, Xinyu
    Wang, Chaoran
    Shi, Liyu
    Zhou, Haining
    Phillips, Tyson Keen
    Bi, Kang
    Cui, Weijiu
    Sun, Chengpeng
    Wan, Da
    [J]. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2024, 89
  • [49] Mixed-Reality-Enhanced Human-Robot Interaction with an Imitation-Based Mapping Approach for Intuitive Teleoperation of a Robotic Arm-Hand System
    Su, Yun-Peng
    Chen, Xiao-Qi
    Zhou, Tony
    Pretty, Christopher
    Chase, Geoffrey
    [J]. APPLIED SCIENCES-BASEL, 2022, 12 (09):