Abstract
A robotic hand with 19 joints is designed to make the mechanical hand lighter and more anthropomorphic. Inspired by the human flexor tendon and sheath, tendon-sheath transmission is applied to drive the finger joint, which decouples the motion of the joints and achieves the postposition of the drive motor. The configuration of the robotic hand is determined by referring to the joints of a human hand; furthermore, a joint mechanism and a drive structure are designed. The flex sensor and the changeable proportion mapping algorithm are applied, and the tracking control of grasping is achieved. Finally, a mechanical hand prototype is built to conduct gesture experiments and grasping control experiments. According to the experimental results, the designed hand has high motion flexibility, and the cooperation of the fingers achieves the effective grasping of various objects. The application of tendon-sheath transmission to the mechanical hand is feasible, and the research context has certain theoretical value and practical significance for the technical development and social application of anthropomorphic multijoint robotic hands.
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References
Ramírez Rebollo, D.R., Ponce, P., Molina, A.: From 3 fingers to 5 fingers dexterous hands. Adv. Robot. 31(19–20), 1051–1070 (2017)
Dutta, N., Saha, J., Sarker, F., et al.: A novel design of a multi-DOF mobile robotic helping hand for paralyzed patients. In: Proceedings of the 7th International Conference on Computing, Communications and Informatics (ICACCI), Bangalore, India, SEP, pp. 19–22 (2018)
Wu, X., Cao, W., Yu, H., Zhang, Z., Leng, Y., Zhang, M.: Generating electricity during locomotion modes dominated by negative work with a knee energy harvesting exoskeleton. IEEE-ASME Trans. Mechatron. (2022). https://doi.org/10.1109/TMECH.2022.3157848,earlyaccess
Jamshidi, J.S.: Developments in dextrous hands for advanced robotic applications. In: 10th International Symposium on Robotics and Applications held at the 6th Biannual World Automation Congress, Seville, Spain, pp. 123–128, June 2004
Cao, W., Chen, C., Hu, H., Fang, K., Wu, X.: Effect of hip assistance modes on metabolic cost of walking with a soft exoskeleton. IEEE Trans. Autom. Sci. Eng. 18(2), 426–436 (2021)
Lee, J.H., Chung, Y.S., Rodrigue, H.: Long shape memory alloy tendon-based soft robotic actuators and implementation as a soft gripper. Sci. Rep. 9, 11251 (2019). https://doi.org/10.1038/s41598-019-47794-1
Hu, W., Lum, G.Z., Mastrangeli, M., Sitti, M.: Small-scale soft-bodied robot with multimodal locomotion. Nature 554, 81 (2018)
Chen, Z.P., Lii, N.Y., Wimbock, T., et al.: Experimental evaluation of Cartesian and joint impedance control with adaptive friction compensation for the dexterous robot hand DLR/HIT II. Int. J. Humanoid. Rob. 8(4), 649–671 (2011)
Chen, Z., Lii, N., Wimboeck, Y.T., et al.: Experimental analysis on spatial and cartesian impedance control for the dexterous DLR/HIT II hand. Int. J. Robot. Autom. 29(1), 1–13 (2014)
Lenzi, T., Lipsey, J., Sensinger, J.: The RIC arm - a small, anthropomorphic transhumeral prosthesis. IEEE/ASME Trans. Mechatron. 2660–2671 (2016)
Bridgwater, L.B., Ihrke, C.A., Diftler, M.A., et al.: The robonant 2 hand-designed to do work with tools. In: IEEE International Conference on Robotics and Automation (ICRA), St. Paul, MN, pp. 14–18, May 2012
Lotti, F., Tiezzi, P., Vassura, G.: UBH3: investigating alternative design concepts for robotic hands. In: Automation Congress IEEE (2004)
Chaigneau, D., Arsicault, M., Gazeau, J.P., et al.: LMS robotic hand grasp and manipulation planning (an isomorphic exoskeleton approach). Robotica 26(2), 177–188 (2008)
Deng, L., Shen, Y., Fan, G., et al.: Design of a soft gripper with improved microfluidic tactile sensors for classification of deformable objects. IEEE Robot. Autom. Lett. 7(2), 5607–5614 (2022)
Palli, G., Melchiorri, C.: Friction compensation techniques for tendon-driven robotic hands. Mechatronics 24(2), 108–117 (2014)
Palli, G., Borghesan, G., Melchiorri, C.: Modeling, identification, and control of tendon-based actuation systems. IEEE Trans. Robot. 28(2), 277–289 (2012)
Acknowledgements
This work was supported in part by the R&D projects in key areas of Guangdong Province through Grant 2020B090925002, in part by the Guangdong Basic and Applied Basic Research Foundation under Grant 2021A1515011699, in part by Postdoctoral Science Foundation of China under Grant 2021M703389, in part by the Guangdong Regional Joint Fund- Youth Fund Project of China under Grant 2021A1515110486, in part by the Shenzhen Excellent Science and Innovation Talents Training Doctoral Startup Project under Grant 202107063000284, in part by National Natural Science Foundation of China under Grant 62022087, in part by the Defense Industrial Technology Development Program of China under Grant JCKY2020206B008, in part by the High-level Innovation and Entrepreneurship Talent Introduction Plan of Jiangsu Province under Grant JSSCBS20211456.
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Li, Z., Yin, M., Sun, H., Hu, M., Cao, W., Wu, X. (2022). Master-Slave Control of the Robotic Hand Driven by Tendon-Sheath Transmission. In: Liu, H., et al. Intelligent Robotics and Applications. ICIRA 2022. Lecture Notes in Computer Science(), vol 13455. Springer, Cham. https://doi.org/10.1007/978-3-031-13844-7_69
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DOI: https://doi.org/10.1007/978-3-031-13844-7_69
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