From Bionics to Precision Mechanical Design: A Study on the Structure and Function of Dexterous Hands in Humanoid Robots
DOI:
https://doi.org/10.54097/2e1gm056Keywords:
Dexterous Hand, Humanoid Robot, Bionic Technology, Mechanical Engineering.Abstract
With the rapid advancement of service robots, industrial collaborative robots, and intelligent prosthetic technologies, the dexterous hand of humanoid robots has become a focal point of research. As a key end-effector for humanoid robots to interact with the external environment, the dexterous hand embodies a profound integration of bionics and precision mechanical engineering. This paper begins with an analysis of the human hand’s anatomical structure and its implications for dexterous hand design. It then systematically reviews mainstream mechanical design approaches and functional implementation strategies for robotic hands, concluding with a discussion on future development trends.
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[1] Song Jinfeng, Li Hejun. Anatomical Structure and Biomechanical Characteristics of Human Hand Motor System [J]. Medical Research Journal, 2018, 47 (3): 221 – 224.
[2] Zhu Y, Zhang H, Liu Q, et al. Anatomy-Based Hand Modeling and Its Application to Human-Machine Interface Design [J]. Computer Methods in Biomechanics and Biomedical Engineering, 2015, 18 (7): 732 – 742.
[3] Yamada Kosaku, Nakanishi Ryo. Development of Biomimetic Structures and Control Systems of Dexterous Hands [J]. Journal of the Robotics Society of Japan, 2016, 34 (2): 92 – 101.
[4] Shao Jiangbo, Li Chengjin. Advances in Application of Bionics in Humanoid Robot Design [J]. Robotics Technology and Applications, 2021, 9 (1): 22 – 28.
[5] Cutkosky M R. On grasp choice, grasp models, and the design of hands for manufacturing tasks [J]. IEEE Transactions on Robotics and Automation, 1989, 5 (3): 269 – 279.
[6] Bicchi A. Hands for dexterous manipulation and robust grasping: A difficult road toward simplicity [J]. IEEE Transactions on Robotics and Automation, 2000, 16 (6): 652 – 662.
[7] Shadow Robot Company. The Shadow Dexterous Hand [EB/OL]. https://www.shadowrobot.com/dexterous-hand/, 2024 - 05 - 10.
[8] NASA. Robonaut 2: Robotic Hand Overview [EB/OL]. https://robonaut.jsc.nasa.gov/, 2024-04-20.
[9] Grebenstein M, et al. The DLR Hand Arm System: A Platform for Studying Human-Robot Interaction [J]. Advanced Robotics, 2011, 25 (5): 635 – 652.
[10] Schunk GmbH & Co. KG. SCHUNK Dexterous Hand (SDH) Datasheet [EB/OL]. https://schunk.com/, 2024 - 04 - 15.
[11] He Zhiqiang, Hu Qinglei, Zhang Zhenyu, et al. Design Research of Dexterous Hands in Harbin Institute of Technology’s Humanoid Robot System [J]. Journal of Harbin Institute of Technology, 2020, 52 (3): 121 – 128.
[12] Butterfass J, Grebenstein M, Liu H, et al. DLR-Hand II: Next Generation of a Dextrous Robot Hand [J]. Proceedings of ICRA, 2001: 109 – 114.
[13] Liu H, Meusel P, Hirzinger G. Design of a Dexterous Hand for Humanoid Robots [J]. Robotics and Autonomous Systems, 2008, 56 (9): 672 – 684.
[14] Xu Z, Todorov E. Design of a Highly Biomimetic Anthropomorphic Robotic Hand with Active Stiffness Modulation [J]. IEEE ICRA, 2016.
[15] Hao F, et al. Design and Evaluation of a Shadow Hand Based Grasping System for Household Tasks [J]. Mechatronics, 2020, 68: 102369.
[16] Gosselin C, et al. The Robotic Gifu Hand III: Design and Applications [J]. Journal of Advanced Robotics, 2004, 18 (3): 303 – 320.
[17] Hirai K, et al. Development of Honda Humanoid Robot [J]. IEEE ICRA, 1998.
[18] Lu Z, Liu H, et al. Development of HIT-DLR II Dexterous Hand [J]. Journal of Harbin Institute of Technology, 2012, 44 (9): 53 – 58.
[19] Zhang Lin, Liu Hu. Development and Key Technologies of Dexterous Robot Hands: A Review [J]. Mechanical Design, 2023, 40 (1): 37 – 42.
[20] Wang Wenchao, Liu Jiang. Status and Trends of Humanoid Dexterous Hand Development at Home and Abroad [J]. Mechanical Science and Technology, 2022, 41 (6): 955 – 960.
[21] Zhang Q, Chen W. Review on Dexterous Robot Hands and Their Applications in Robotics [J]. International Journal of Humanoid Robotics, 2019, 16 (4): 1950016.
[22] Li J, et al. Human-like Dexterous Manipulation Based on Reinforcement Learning: A Review [J]. Robotics and Autonomous Systems, 2023, 161: 104353.
[23] Kappler D, et al. Real-Time Grasping with Multi-Fingered Hands Using Predictive Simulation and Multi-Modal Feedback [J]. ICRA, 2015.
[24] Polygerinos P, et al. Soft Robotics: Review of Recent Developments and Trends [J]. IEEE Robotics & Automation Magazine, 2017, 24 (3): 40 – 50.
[25] Deimel R, Brock O. A Compliant Hand Based on a Novel Pneumatic Actuator [J]. ICRA, 2016: 2047 – 2053.
[26] Santina C, Bianchi M, Bicchi A. Synergies: From Neuroscience to Robotics [J]. Annual Review of Control, Robotics, and Autonomous Systems, 2018, 1 (1): 451 – 472.
[27] Yuan W, Kappler D, et al. GelSight: High-Resolution Robot Tactile Sensors for Estimating Geometry and Force [J]. IEEE Sensors Journal, 2017, 17 (13): 4236 – 4245.
[28] Taha T M, Ghaleb H H. An Efficient Brain–Computer Interface System Using EMG Signal for Humanoid Robot Control [J]. Journal of Intelligent & Robotic Systems, 2022, 104 (3): 87.
[29] Arduengo M, Toussaint M. Real World Robot Learning with Tactile Feedback [J]. Proceedings of Robotics: Science and Systems, 2021.
[30] Wang Y, Li Z. Biomechanics-Inspired Design and Motion Planning for Multi-Fingered Hands [J]. Mechanism and Machine Theory, 2020, 148: 103801.
[31] Chen Y, Wang X. Development of a Compliant Dexterous Hand with Embedded Tactile Sensors [J]. Sensors, 2019, 19 (1): 87.
[32] Fang B, et al. Learning a Dexterous Grasping Policy from Object-Centric Demonstrations [J]. IROS, 2022.
[33] Bäuml B, et al. The DLR Hand Arm System for Humanoid Robot Research [J]. Robotics and Autonomous Systems, 2010, 58 (9): 1045 – 1055.
[34] Chen Z, Wang S. Research on Dexterous Hand Actuators Based on Smart Materials [J]. Journal of Intelligent Systems, 2021, 16 (6): 1129 – 1136.
[35] Bohg J, Morales A, Asfour T, Kragic D. Data Driven Grasp Synthesis – A Survey [J]. IEEE Transactions on Robotics, 2014, 30 (2): 289 – 309.
[36] Yang Y, He Z, Jiao P, Ren H. Bioinspired Soft Robotics: How Do We Learn from Creatures? – A Review [J]. arXiv preprint, 2023.
[37] Shaw K, Agarwal A, Pathak D. LEAP Hand: Low Cost, Efficient, Anthropomorphic Hand for Robot Learning [J]. arXiv preprint, 2023.
[38] Newbury R, Gu M, Chumbley L, et al. Deep Learning Approaches to Grasp Synthesis: A Review [J]. arXiv preprint, 2022.
[39] Polygerinos P, Galloway KC, Wood RJ, et al. Soft Robotics: Review of Recent Developments and Trends [J]. IEEE Robotics & Automation Magazine, 2017, 24 (3): 40 – 50.
[40] Deimel R, Brock O. A Compliant Hand Based on a Novel Pneumatic Actuator [J]. Proceedings of ICRA, 2016: 2047 – 2053.
[41] Shadow Robot Company. Shadow Dexterous Hand Applications. [Online]. Available: https://www.shadowrobot.com/dexterous-hand/.
[42] NASA Robonaut. Robonaut 2 Gallery and Use Cases. [Online]. Available: https://www.nasa.gov/robonaut.
[43] IEEE Spectrum. Robotic Hand Learns by Itself How to Handle Objects. [Online]. Available: https://spectrum.ieee.org/robot-hand-grasp.
[44] NASA Spinoff. Robotic Glove Technology Boosts Human Strength. [Online]. Available: https://spinoff.nasa.gov/robotic-glove.
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