Mechanism and Robotics

Design of 3D-printed Cable Driven Humanoid Hand Based on Bidirectional Elastomeric Passive Transmission

  • Teru Chen ,
  • Xingwei Zhao ,
  • Guocai Ma ,
  • Bo Tao ,
  • Zhouping Yin
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  • 1. State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China;
    2. State Key Laboratory of Intelligent Manufacturing System Technology, Beijing Institute of Electronic System Engineering, Beijing 100854, China

收稿日期: 2020-08-15

  修回日期: 2021-03-28

  网络出版日期: 2021-12-21

基金资助

Supported by National Natural Science Foundation of China (Grant No. 91948301), Hubei Provincial Technology Innovation Project of China (Grant No. 2019AAA071), and Open Fund of State Key Laboratory of Robotics and System (Grant No. SKLRS-2019-KF-11)

Design of 3D-printed Cable Driven Humanoid Hand Based on Bidirectional Elastomeric Passive Transmission

  • Teru Chen ,
  • Xingwei Zhao ,
  • Guocai Ma ,
  • Bo Tao ,
  • Zhouping Yin
Expand
  • 1. State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China;
    2. State Key Laboratory of Intelligent Manufacturing System Technology, Beijing Institute of Electronic System Engineering, Beijing 100854, China

Received date: 2020-08-15

  Revised date: 2021-03-28

  Online published: 2021-12-21

Supported by

Supported by National Natural Science Foundation of China (Grant No. 91948301), Hubei Provincial Technology Innovation Project of China (Grant No. 2019AAA071), and Open Fund of State Key Laboratory of Robotics and System (Grant No. SKLRS-2019-KF-11)

摘要

Motion control of the human hand is the most complex part of the human body. It has always been a challenge for a good balance between the cost, weight, responding speed, grasping force, finger extension, and dexterity of prosthetic hand. To solve these issues, a 3D-printed cable driven humanoid hand based on bidirectional elastomeric passive transmission (BEPT) is designed in this paper. A semi-static model of BEPT is investigated based on energy conservation law to analyze the mechanical properties of BEPT and a dynamical simulation of finger grasping is conducted. For a good imitation of human hand and an excellent grasping performance, specific BEPT is selected according to human finger grasping experiments. The advantage of BEPT based humanoid hand is that a good balance between the price and performance of the humanoid hand is achieved. Experiments proved that the designed prosthetic hand's single fingertip force can reach 33 N and the fastest fingertip grasping speed realized 0.6 s/180°. It also has a good force compliance effect with only 430g's weight. It can not only grab fragile objects like raw eggs and paper cup, but also achieve strong grasping force to damage metal cans. This humanoid hand has considerable application prospects in artificial prosthesis, human-computer interaction, and robot operation.

本文引用格式

Teru Chen , Xingwei Zhao , Guocai Ma , Bo Tao , Zhouping Yin . Design of 3D-printed Cable Driven Humanoid Hand Based on Bidirectional Elastomeric Passive Transmission[J]. Chinese Journal of Mechanical Engineering, 2021 , 34(4) : 76 -76 . DOI: 10.1186/s10033-021-00595-y

Abstract

Motion control of the human hand is the most complex part of the human body. It has always been a challenge for a good balance between the cost, weight, responding speed, grasping force, finger extension, and dexterity of prosthetic hand. To solve these issues, a 3D-printed cable driven humanoid hand based on bidirectional elastomeric passive transmission (BEPT) is designed in this paper. A semi-static model of BEPT is investigated based on energy conservation law to analyze the mechanical properties of BEPT and a dynamical simulation of finger grasping is conducted. For a good imitation of human hand and an excellent grasping performance, specific BEPT is selected according to human finger grasping experiments. The advantage of BEPT based humanoid hand is that a good balance between the price and performance of the humanoid hand is achieved. Experiments proved that the designed prosthetic hand's single fingertip force can reach 33 N and the fastest fingertip grasping speed realized 0.6 s/180°. It also has a good force compliance effect with only 430g's weight. It can not only grab fragile objects like raw eggs and paper cup, but also achieve strong grasping force to damage metal cans. This humanoid hand has considerable application prospects in artificial prosthesis, human-computer interaction, and robot operation.

参考文献

[1] S Almecija, J B Smaers, W L Jungers. The evolution of human and ape hand proportions. Nature Communications, 2015, 6.
[2] M J Liu, C H Xiong, D Hu. Assessing the manipulative potentials of monkeys, apes and humans from hand proportions: implications for hand evolution. Proceedings of the Royal Society B-Biological Sciences, 2016, 283(1843).
[3] D Hu, C H Xiong, M J Liu. Exploring the existence of better hands for manipulation than the human hand based on hand proportions. Journal of Theoretical Biology, 2018, 440: 100-111.
[4] L G?ran. The hand and the brain: from Lucy's thumb to the thought-controlled robotic hand. New York: Springer, 2013.
[5] J Guo, X He, C Xiong. Simultaneous motion and force sensing for a flexure finger. 2020 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob), 29 Nov. ?1 Dec., 2020: 1061-1066.
[6] G Carbone. Grasping in robotics. New York: Springer, 2013.
[7] J T Li, S Wang, J Wang, et al. Development of a hand exoskeleton system for index finger rehabilitation. Chinese Journal of Mechanical Engineering, 2012, 25(2): 223-233.
[8] C Pylatiuk, S Mounier, A Kargov, et al. Progress in the development of a multifunctional hand prosthesis. Proceedings of the 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2004, 26: 4260-4263.
[9] M C Carrozza, G Cappiello, S Micera, et al. Design of a cybernetic hand for perception and action. Biological Cybernetics, 2006, 95(6): 629-644.
[10] J T Belter, A M Dollar. Performance characteristics of anthropomorphic prosthetic hands. 2011 IEEE International Conference on Rehabilitation Robotics (ICORR), Zurich, Switzerland, 2011: 1-7.
[11] C Pylatiuk, S Schulz, L Doderlein. Results of an Internet survey of myoelectric prosthetic hand users. Prosthetics and Orthotics International, 2007, 31(4): 362-370.
[12] Li Jiang, Hong Liu, Zongwu Xie, et al. Design of a novel dexterous robot hand. Chinese Journal of Mechanical Engineering, 2004, 17(3): 360-363.
[13] W C Lee, C W Wu. A novel design of a prosthetic hand. IEEE International Conference on Systems, Man and Cybernetics, 2010.
[14] P Wattanasiri, P Tangpornprasert, C Virulsri. Design of multi-grip patterns prosthetic hand with single actuator. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2018, 26(6): 1188-1198.
[15] J Ingvast, J Wikander, C Ridderstrom. The PVT, an elastic conservative transmission. International Journal of Robotics Research, 2006, 25(10): 1013-1032.
[16] Y J Shin, H J Lee, K S Kim, et al. A robot finger design using a dual-mode twisting mechanism to achieve high-speed motion and large grasping force. IEEE Transactions on Robotics, 2012, 28(6): 1398-1405.
[17] S M Felton, D Y Lee, K J Cho, et al. A passive, Origami-inspired, continuously variable transmission. 2014 IEEE International Conference on Robotics and Automation (ICRA), Hong Kong, China, 2014: 2913-2918.
[18] S L Qiao, R Q Liu, H W Guo, et al. Configuration design of an under-actuated robotic hand based on maximum grasping space. Chinese Journal of Mechanical Engineering, 2018, 31: 35, https://doi.org/10.1186/s10033-018-0243-4
[19] J H Geng, H A Qiang, W M Zhang, et al. Design of a humanoid hand with 5 fingers and 14 joints driven by 2 motors. Eleventh World Congress in Mechanism and Machine Science, Tianjin, China, 2004: 2003-2006.
[20] Q Zhang, T Pi, R Liu, et al. Simultaneous and proportional estimation of multijoint kinematics from EMG signals for Myocontrol of robotic hands. IEEE/ASME Transactions on Mechatronics, 2020, 25(4): 1953-1960.
[21] C H Xiong, W R Chen, B Y Sun, et al. Design and implementation of an anthropomorphic hand for replicating human grasping functions. IEEE Transactions on Robotics, 2016, 32(3): 652-671.
[22] W R Chen, C H Xiong, M J Liu, et al. Characteristics analysis and mechanical implementation of human finger movements. 2014 IEEE International Conference on Robotics and Automation (ICRA), 2014: 403-408.
[23] T Duan, J Huang, Z Xie, et al. Continuous control of wrist-hand prosthesis by extracting independents EMG signals from cross-talk muscle groups. 2019 Chinese Control Conference (CCC), 27-30 July, 2019: 4537-4542.
[24] X Yong, X B Jing, Y L Jiang, et al. Tendon drive finger mechanisms for an EMG prosthetic hand with two motors. 2014 7th International Conference on Biomedical Engineering and Informatics (BMEI 2014), Dalian, China, 2014: 568-572.
[25] L C Lei, H P Liu, F C Sun, et al. The intelligent grasping tactics of dexterous hand. 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV), 2014: 352-357.
[26] S A Dalley, T E Wiste, T J Withrow, et al. Design of a multifunctional anthropomorphic prosthetic hand with extrinsic actuation. IEEE-ASME Transactions on Mechatronics, 2009, 14(6): 699-706.
[27] V Bundhoo, E J Park. Design of an artificial muscle actuated finger towards biomimetic prosthetic hands. 2005 12th International Conference on Advanced Robotics, 2005: 368-375.
[28] K W O'Brien, P A Xu, D J Levine, et al. Elastomeric passive transmission for autonomous force-velocity adaptation applied to 3D-printed prosthetics. Science Robotics, 2018, 3(23): eaau5543.
[29] C Mehring, M Akselrod, L Bashford, et al. Augmented manipulation ability in humans with six-fingered hands. Nature Communications, 2019, 10(1).
[30] I M Bullock, J Z Zheng, S De La Rosa, et al. Grasp frequency and usage in daily household and machine shop tasks. IEEE Transactions on Haptics, 2013, 6(3): 296-308.
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