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On-line Access: 2024-08-27

Received: 2023-10-17

Revision Accepted: 2024-05-08

Crosschecked: 2022-10-21

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Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Yong-bin JIN

https://orcid.org/0000-0001-8964-8951

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Journal of Zhejiang University SCIENCE A 2022 Vol.23 No.10 P.771-782

http://doi.org/10.1631/jzus.A2200216


Anthropomorphic hand based on twisted-string-driven da Vinci’s mechanism for approaching human dexterity and power of grasp


Author(s):  Yong-bin JIN, Shao-wen CHENG, Yan-yan YUAN, Hong-tao WANG, Wei YANG

Affiliation(s):  Center for X-Mechanics, Zhejiang University, Hangzhou 310027, China; more

Corresponding email(s):   htw@zju.edu.cn

Key Words:  Anthropomorphic hand, da Vinci’, s mechanism, Twisted string actuator (TSA), Intelligent mechanism, Principal component analysis (PCA)


Yong-bin JIN, Shao-wen CHENG, Yan-yan YUAN, Hong-tao WANG, Wei YANG. Anthropomorphic hand based on twisted-string-driven da Vinci’s mechanism for approaching human dexterity and power of grasp[J]. Journal of Zhejiang University Science A, 2022, 23(10): 771-782.

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Abstract: 
Designing anthropomorphic prosthetic hands that approach human-level performance remains a great challenge. Commercial prosthetics are still inferior to human hands in several important properties, such as weight, size, fingertip force, grasp velocity, and active and passive dexterities. We present a novel design based on the under-actuated da Vinci’;s mechanism driven by a flexible twisted string actuator (TSA). The distributed drive scheme allows structural optimization using a motion capture database to reproduce the natural movement of human hands while keeping adaptability to free-form objects. The application of TSA realizes a high conversion from motor torque to tendon contraction force while keeping the structure light, flexible, and compact. Our anthropomorphic prosthetic hand, consisting of six active and 15 passive degrees of freedom, has a weight of 280 g, approximately 70% of that of a human hand. It passed 30 of the 33 Feix grasp tests on objects in daily living and retained a loading capacity of 5 kg. This simple but intelligent mechanism leads to excellent stability and adaptability and renders feasible wide applications in prosthetics and in service robots.

通过绞合线驱动与达芬奇机构实现兼顾人手般灵巧性与抓握力的仿生机械手

作者:金永斌1,2,3,4,程绍文1,4,袁炎炎1,4,王宏涛1,2,3,4,杨卫1,4
机构:1浙江大学,交叉力学中心,中国杭州,310027;2浙江大学杭州国际科创中心,中国杭州,310027;3浙江大学,流体传动及控制国家重点实验室,中国杭州,310027;4浙江大学,航空航天学院应用力学研究所,中国杭州,310027
目的:由于空间的限制,在仿生灵巧机械手设计的时候存在灵巧性与抓握力量之间的矛盾。本文旨在通过智能机构设计,实现机械手综合性能的提升。
创新点:1.基于人手运动数据库对达芬奇机构进行优化,复现人手运动学特征;2.基于绞合线传动机构实现机械手的轻量化和紧凑性设计;3.仿生机械手应用于植入式脑机接口临床试验。
方法:1.通过理论推导,构建欠驱动的达芬奇机构运动学与机构参数的关系(公式(2));2.通过主成分分析,得到人手关节之间的耦合关系并用于优化达芬奇机构的参数(图3);3.通过几何分析得到绞合线驱动系统的非线性传动公式(图4和公式(7))。
结论:1.基于绞合线驱动和达芬奇机构的仿生机械手可以在受限空间中实现机械手的抓握力量与灵巧性的平衡;2.得益于欠驱动的达芬奇机构,机械手的灵巧性较好,能够适应不同形状的物体;3.本文所设计的机械手得以成功地应用于中国首例临床植入式脑机接口实验,展示了高超的灵巧性、适应性与鲁棒性。

关键词:仿生机械手;达芬奇机构;绞合线驱动;智能机构;主成分分析

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1]AndrianesisK, TzesA, 2013. Design of an innovative prosthetic hand with compact shape memory alloy actuators. Proceedings of the 21st Mediterranean Conference on Control and Automation, p.697-702.

[2]AndrychowiczM, BakerB, ChociejM, et al., 2020. Learning dexterous in-hand manipulation. The International Journal of Robotics Research, 39(1):3-20.

[3]BelterJT, SegilJL, DollarAM, et al., 2013. Mechanical design and performance specifications of anthropomorphic prosthetic hands: a review. Journal of Rehabilitation Research and Development, 50(5):599-618.

[4]BillardA, KragicD, 2019. Trends and challenges in robot manipulation. Science, 364(6446):eaat8414.

[5]BrownE, RodenbergN, AmendJ, et al., 2010. Universal robotic gripper based on the jamming of granular material. Proceedings of the National Academy of Sciences United States of America, 107(44):18809-18814.

[6]ChenC, ZouJ, 2021. Adaptive robust control of soft bending actuators: an empirical nonlinear model-based approach. Journal of Zhejiang University SCIENCE A (Applied Physics & Engineering), 22(9):681-694.

[7]CobosS, FerreM, Sánchez-UránMÁ, et al., 2010. Human hand descriptions and gesture recognition for object manipulation. Computer Methods in Biomechanics and Biomedical Engineering, 13(3):305-317.

[8]de PascaliC, NaselliGA, PalagiS, et al., 2022. 3D-printed biomimetic artificial muscles using soft actuators that contract and elongate. Science Robotics, 7(68):eabn4155.

[9]DeimelR, BrockO, 2016. A novel type of compliant and underactuated robotic hand for dexterous grasping. The International Journal of Robotics Research, 35(1-3):161-185.

[10]FeixT, RomeroJ, SchmiedmayerHB, et al., 2016. The GRASP taxonomy of human grasp types. IEEE Transactions on Human-Machine Systems, 46(1):66-77.

[11]FirouzehA, PaikJ, 2017. Grasp mode and compliance control of an underactuated origami gripper using adjustable stiffness joints. IEEE/ASME Transactions on Mechatronics, 22(5):2165-2173.

[12]GallowayKC, BeckerKP, PhillipsB, et al., 2016. Soft robotic grippers for biological sampling on deep reefs. Soft Robotics, 3(1):23-33.

[13]GaponovI, PopovD, RyuJH, 2014. Twisted string actuation systems: a study of the mathematical model and a comparison of twisted strings. IEEE/ASME Transactions on Mechatronics, 19(4):1331-1342.

[14]GrebensteinM, ChalonM, HirzingerG, et al., 2010. Antagonistically driven finger design for the anthropomorphic DLR hand arm system. Proceedings of the 10th IEEE-RAS International Conference on Humanoid Robots, p.609-616.

[15]JeongSH, KimKS, KimS, 2017. Designing anthropomorphic robot hand with active dual-mode twisted string actuation mechanism and tiny tension sensors. IEEE Robotics and Automation Letters, 2(3):1571-1578.

[16]JungMY, ChucNH, KimJW, et al., 2006. Fabrication and characterization of linear motion dielectric elastomer actuators. Proceedings of SPIE 6168, Smart Structures and Materials 2006: Electroactive Polymer Actuators and Devices, Article 616824.

[17]KimU, JungD, JeongH, et al., 2021. Integrated linkage-driven dexterous anthropomorphic robotic hand. Nature Communications, 12(1):7177.

[18]LaffranchiM, BoccardoN, TraversoS, et al., 2020. The Hannes hand prosthesis replicates the key biological properties of the human hand. Science Robotics, 5(46):eabb0467.

[19]LeeDH, ParkJH, ParkSW, et al., 2017. KITECH-hand: a highly dexterous and modularized robotic hand. IEEE/ASME Transactions on Mechatronics, 22(2):876-887.

[20]LiSG, StampfliJJ, XuHJ, et al., 2019. A vacuum-driven origami “magic-ball” soft gripper. Proceedings of the International Conference on Robotics and Automation, p.7401-7408.

[21]LiuH, MeuselP, HirzingerG, et al., 2008. The modular multisensory DLR-HIT-Hand: hardware and software architecture. IEEE/ASME Transactions on Mechatronics, 13(4):461-469.

[22]LiuMJ, XiongCH, XiongL, et al., 2016. Biomechanical characteristics of hand coordination in grasping activities of daily living. PLoS One, 11(1):e0146193.

[23]LiuXH, ZhengXH, LiSP, 2017. Development of a humanoid robot hand with coupling four-bar linkage. Advances in Mechanical Engineering, 9(1):1-13.

[24]LiuXW, JinYB, JiangL, et al., 2021. Wheeled jumping robot by power modulation using twisted string lever mechanism. Journal of Zhejiang University SCIENCE A (Applied Physics & Engineering), 22(10):767-776.

[25]MahlerJ, LiangJ, NiyazS, et al., 2017. Dex-Net 2.0: deep learning to plan robust grasps with synthetic point clouds and analytic grasp metrics. Proceedings of the Robotics: Science and Systems XIII.

[26]O’BrienKW, XuPA, LevineDJ, et al., 2018. Elastomeric passive transmission for autonomous force-velocity adaptation applied to 3D-printed prosthetics. Science Robotics, 3(23):eaau5543.

[27]OhS, TabassianR, ThangasamyP, et al., 2022. Cooling-accelerated nanowire-nitinol hybrid muscle for versatile prosthetic hand and biomimetic retractable claw. Advanced Functional Materials, 32(18):2111145.

[28]PalliG, NataleC, MayC, et al., 2013. Modeling and control of the twisted string actuation system. IEEE/ASME Transactions on Mechatronics, 18(2):664-673.

[29]RajeswaranA, KumarV, GuptaA, et al., 2018. Learning complex dexterous manipulation with deep reinforcement learning and demonstrations. Proceedings of the Robotics: Science and Systems XIV.

[30]RuotoloW, BrouwerD, CutkoskyMR, 2021. From grasping to manipulation with gecko-inspired adhesives on a multifinger gripper. Science Robotics, 6(61):eabi9773.

[31]SantelloM, FlandersM, SoechtingJF, 1998. Postural hand synergies for tool use. Journal of Neuroscience, 18(23):10105-10115.

[32]SchmitzA, PattaciniU, NoriF, et al., 2010. Design, realization and sensorization of the dexterous iCub hand. The 10th IEEE-RAS International Conference on Humanoid Robots, p.186-191.

[33]ShinYJ, LeeHJ, KimKS, et al., 2012. A robot finger design using a dual-mode twisting mechanism to achieve high-speed motion and large grasping force. IEEE Transactions on Robotics, 28(6):1398-1405.

[34]ShintakeJ, CacuccioloV, FloreanoD, et al., 2018. Soft robotic grippers. Advanced Materials, 30(29):1707035.

[35]ShorthoseO, AlbiniA, HeL, et al., 2022. Design of a 3D-printed soft robotic hand with integrated distributed tactile sensing. IEEE Robotics and Automation Letters, 7(2):3945-3952.

[36]TodorovE, ErezT, TassaY, 2012. MuJoCo: a physics engine for model-based control. Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, p.5026-5033.

[37]Vincent, 2022. Vincent Prosthetics Hand. https://www.vincentsystems.de/vincent-evolution4

[38]WeissEJ, FlandersM, 2004. Muscular and postural synergies of the human hand. Journal of Neurophysiology, 92(1):523-535.

[39]XiongCH, ChenWR, SunBY, et al., 2016. Design and implementation of an anthropomorphic hand for replicating human grasping functions. IEEE Transactions on Robotics, 32(3):652-671.

[40]XuK, LiuH, DuYH, et al., 2014. Design of an underactuated anthropomorphic hand with mechanically implemented postural synergies. Advanced Robotics, 28(21):1459-1474.

[41]XuZ, TodorovE, 2016. Design of a highly biomimetic anthropomorphic robotic hand towards artificial limb regeneration. Proceedings of the IEEE International Conference on Robotics and Automation, p.3485-3492.

[42]YangY, JinKX, ZhuHH, et al., 2021. A 3D-printed fin ray effect inspired soft robotic gripper with force feedback. Micromachines, 12(10):1141.

[43]YangZS, YinKK, LiuLB, 2022. Learning to use chopsticks in diverse gripping styles. ACM Transactions on Graphics, 41(4):95.

[44]YipMC, NiemeyerG, 2015. High-performance robotic muscles from conductive nylon sewing thread. Proceedings of the IEEE International Conference on Robotics and Automation, p.2313-2318.

[45]YokogawaR, HaraK, 2002. Measurement of distribution of maximum index-fingertip force in all directions at fingertip in flexion/extension plane. Journal of Biomechanical Engineering, 124(3):302-307.

[46]ZhaoHC, O’BrienK, LiS, et al., 2016. Optoelectronically innervated soft prosthetic hand via stretchable optical waveguides. Science Robotics, 1(1):eaai7529.

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