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FENG Ziyue, MO Zhenji, ZHAO Jialong, ZHENG Bo, YUAN Shuai. Teleimpedance Control for Lunar Construction Based on Biomechanical Impedance Identification of Human Body (in Chinese). Chinese Journal of Space Science, 2026, 46(3): 1-14 doi: 10.11728/cjss2026.03.2025-0142
Citation: FENG Ziyue, MO Zhenji, ZHAO Jialong, ZHENG Bo, YUAN Shuai. Teleimpedance Control for Lunar Construction Based on Biomechanical Impedance Identification of Human Body (in Chinese). Chinese Journal of Space Science, 2026, 46(3): 1-14 doi: 10.11728/cjss2026.03.2025-0142

Teleimpedance Control for Lunar Construction Based on Biomechanical Impedance Identification of Human Body

doi: 10.11728/cjss2026.03.2025-0142 cstr: 32142.14.cjss.2025-0142
  • Received Date: 2025-08-03
  • Rev Recd Date: 2025-09-15
  • Available Online: 2025-09-17
  • Driven by the continuous progress in lunar exploration, teleoperated robotic arms require highly safe, accurate, and transparent control strategies to handle uncertain and unstructured environments during lunar base construction. Humanoid variable impedance control ensures both safe environmental interaction and high-precision tracking, providing a robust solution for human-robot collaboration. This study investigates a teleoperation strategy that maps human impedance parameters onto a remote robotic arm to meet the interactive demands of lunar tasks. By integrating four-channel surface ElectroMyoGraphy (sEMG) signals with an upper limb mechanics model (built upon Hill’s model and kinematics), a real-time identification system for human end-effector stiffness is established. Unlike conventional methods, this strategy incorporates personalized physical parameters to enhance the generalization of humanoid impedance control. Furthermore, force and visual feedback are utilized to improve information transparency and leverage natural neural reflexes for adaptive impedance adjustment. Finally, experimental results on a lunar truss assembly platform demonstrate that the proposed humanoid variable impedance control significantly outperforms traditional teleoperation schemes.

     

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  • [1]
    张育林, 刘红卫, 蒋超, 等. 地月空间发展的若干工程与技术问题[J]. 宇航学报, 2023, 44(4): 612-632 doi: 10.3873/j.issn.1000-1328.2023.04.015

    ZHANG Yulin, LIU Hongwei, JIANG Chao, et al. Several engineering and technical issues in the development of cislunar space[J]. Journal of Astronautics, 2023, 44(4): 612-632 doi: 10.3873/j.issn.1000-1328.2023.04.015
    [2]
    PANZIRSCH M, SINGH H, WU X W, et al. Virtual elasto-plastic robot compliance to active environments[J]. Science Robotics, 2025, 10(99): eadq1703 doi: 10.1126/scirobotics.adq1703
    [3]
    KEBRIA P M, ABDI H, DALVAND M M, et al. Control methods for internet-based teleoperation systems: a review[J]. IEEE Transactions on Human-Machine Systems, 2019, 49(1): 32-46 doi: 10.1109/THMS.2018.2878815
    [4]
    KREBS H I, HOGAN N, AISEN M L, et al. Robot-aided neurorehabilitation[J]. IEEE Transactions on Rehabilitation Engineering, 1998, 6(1): 75-87 doi: 10.1109/86.662623
    [5]
    YANG X, SHU L, CHEN J N, et al. A survey on smart agriculture: development modes, technologies, and security and privacy challenges[J]. IEEE/CAA Journal of Automatica Sinica, 2021, 8(2): 273-302 doi: 10.1109/JAS.2020.1003536
    [6]
    ABU-DAKKA F J, SAVERIANO M. Variable impedance control and learning—a review[J]. Frontiers in Robotics and AI, 2020, 7: 590681 doi: 10.3389/frobt.2020.590681
    [7]
    李正义. 机器人与环境间力/位置控制技术研究与应用[D]. 武汉: 华中科技大学, 2011

    LI Zhengyi. Research and Application of Robot Force Position Control Methods for Robot-Environment Interaction[D]. Wuhan: Huazhong University of Science and Technology, 2011
    [8]
    HADDADIN S, SHAHRIARI E. Unified force-impedance control[J]. The International Journal of Robotics Research, 2024, 43(3): 2112-2141
    [9]
    CHAN S P, LIAW H C. Generalized impedance control of robot for assembly tasks requiring compliant manipulation[J]. IEEE Transactions on Industrial Electronics, 1996, 43(4): 453-461 doi: 10.1109/41.510636
    [10]
    SONG H C, KIM Y L, LEE D H, et al. Electric connector assembly based on vision and impedance control using cable connector-feeding system[J]. Journal of Mechanical Science and Technology, 2017, 31(12): 5997-6003 doi: 10.1007/s12206-017-1144-7
    [11]
    AJOUDANI A, TSAGARAKIS N G, BICCHI A. Tele-impedance: preliminary results on measuring and replicating human arm impedance in tele operated robots[C]//Proceedings of 2011 IEEE International Conference on Robotics and Biomimetics. Karon Beach, Thailand: IEEE, 2011: 216-222
    [12]
    AJOUDANI A, TSAGARAKIS N G, BICCHI A. Tele-impedance: towards transferring human impedance regulation skills to robots[C]//Proceedings of 2012 IEEE International Conference on Robotics and Automation. Saint Paul, MN, USA: IEEE, 2012: 382-388
    [13]
    AJOUDANI A, TSAGARAKIS N, BICCHI A. Tele-impedance: teleoperation with impedance regulation using a body–machine interface[J]. The International Journal of Robotics Research, 2012, 31(13): 1642-1656 doi: 10.1177/0278364912464668
    [14]
    SU H, QI W, LI Z J, et al. Deep neural network approach in EMG-based force estimation for human–robot interaction[J]. IEEE Transactions on Artificial Intelligence, 2021, 2(5): 404-412 doi: 10.1109/TAI.2021.3066565
    [15]
    HAN L J, CHENG L, ZOU Y X, et al. Physics-informed deep transfer learning for sEMG-based multiple joint angle and torque estimation[J]. IEEE Transactions on Instrumentation and Measurement, 2025, 74: 2531213 doi: 10.1109/tim.2025.3572159
    [16]
    ZOU Y X, CHENG L, LI Z W. A multimodal fusion model for estimating human hand force: comparing surface electromyography and ultrasound signals[J]. IEEE Robotics & Automation Magazine, 2022, 29(4): 10-24 doi: 10.1109/MRA.2022.3177486
    [17]
    于登云, 葛之江, 王乃东, 等. 月球基地结构形式设想[J]. 宇航学报, 2012, 33(12): 1840-1844

    YU Dengyun, GE Zhijiang, WANG Naidong, et al. Supposal for structure form of lunar base[J]. Journal of Astronautics, 2012, 33(12): 1840-1844
    [18]
    HOGAN N. Impedance control: an approach to manipulation[C]//Proceedings of 1984 American Control Conference. San Diego, CA, USA: IEEE, 1984: 304-313
    [19]
    FLASH T, HOGAN N. The coordination of arm movements: an experimentally confirmed mathematical model[J]. Journal of Neuroscience, 1985, 5(7): 1688-1703 doi: 10.1523/jneurosci.05-07-01688.1985
    [20]
    HILL A V. The heat of shortening and the dynamic constants of muscle[J]. Proceedings of the Royal Society B: Biological Sciences, 1938, 126(843): 136-195 doi: 10.1098/rspb.1938.0050
    [21]
    HOUK J C. A Mathematical Model of the Stretch Reflex in Human Muscle Systems[D]. Cambridge: Massachusetts Institute of Technology, 1963
    [22]
    MARTINS J A C, PIRES E B, SALVADO R, et al. A numerical model of passive and active behavior of skeletal muscles[J]. Computer Methods in Applied Mechanics and Engineering, 1998, 151(3/4): 419-433 doi: 10.1016/s0045-7825(97)00162-x
    [23]
    BENNETT D J, HOLLERBACH J M, XU Y, et al. Time-varying stiffness of human elbow joint during cyclic voluntary movement[J]. Experimental Brain Research, 1992, 88(2): 433-442 doi: 10.1007/BF02259118
    [24]
    LACQUANITI F, CARROZZO M, BORGHESE N A. Time-varying mechanical behavior of multijointed arm in man[J]. Journal of Neurophysiology, 1993, 69(5): 1443-1464 doi: 10.1152/jn.1993.69.5.1443
    [25]
    GOMI H, KAWATO M. Human arm stiffness and equilibrium-point trajectory during multi-joint movement[J]. Biological Cybernetics, 1997, 76(3): 163-171 doi: 10.1007/s004220050329
    [26]
    BURDET E, OSU R, FRANKLIN D W, et al. A method for measuring endpoint stiffness during multi-joint arm movements[J]. Journal of Biomechanics, 2000, 33(12): 1705-1709 doi: 10.1016/S0021-9290(00)00142-1
    [27]
    FRANKLIN D W, BURDET E, OSU R, et al. Functional significance of stiffness in adaptation of multijoint arm movements to stable and unstable dynamics[J]. Experimental Brain Research, 2003, 151(2): 145-157 doi: 10.1007/s00221-003-1443-3
    [28]
    李凡奇. 基于sEMG的人体手臂刚度估计的阻抗控制研究[D]. 苏州: 苏州大学, 2020

    LI Fanqi. Research on sEMG-based Estimation of Arm Stiffness Impedance Control[D]. Suzhou: Soochow University, 2020
    [29]
    王晨亮. 基于sEMG的人体臂手刚度预测及仿人手变阻抗控制研究[D]. 哈尔滨: 哈尔滨工业大学, 2018

    WANG Chenliang. Research on sEMG-based Prediction of Arm and Hand Stiffness and Humanoid Hand Variable Impedance Control[D]. Harbin: Harbin Institute of Technology, 2018
    [30]
    FREIVALDS A. Biomechanics of the Upper Limbs: Mechanics, Modeling and Musculoskeletal Injuries[M]. 2nd ed. Boca Raton: CRC Press, 2011
    [31]
    VEEGER H E J, YU B, AN K N, et al. Parameters for modeling the upper extremity[J]. Journal of Biomechanics, 1997, 30(6): 647-652 doi: 10.1016/S0021-9290(97)00011-0
    [32]
    GRAY H. Anatomy of the Human Body[M]. 21st ed. Philadelphia: Lea & Febiger, 1924
    [33]
    MIZRAHI J. Mechanical impedance and its relations to motor control, limb dynamics, and motion biomechanics[J]. Journal of Medical and Biological Engineering, 2015, 35(1): 1-20 doi: 10.1007/s40846-015-0016-9
    [34]
    DISSELHORST-KLUG C, SCHMITZ-RODE T, RAU G. Surface electromyography and muscle force: limits in sEMG–force relationship and new approaches for applications[J]. Clinical Biomechanics, 2009, 24(3): 225-235 doi: 10.1016/j.clinbiomech.2008.08.003
    [35]
    STAUDENMANN D, ROELEVELD K, STEGEMAN D F, et al. Methodological aspects of SEMG recordings for force estimation – a tutorial and review[J]. Journal of Electromyography and Kinesiology, 2010, 20(3): 375-387 doi: 10.1016/j.jelekin.2009.08.005
    [36]
    WINTERS T M, TAKAHASHI M, LIEBER R L, et al. Whole muscle length-tension relationships are accurately modeled as scaled sarcomeres in rabbit hindlimb muscles[J]. Journal of Biomechanics, 2011, 44(1): 109-115 doi: 10.1016/j.jbiomech.2010.08.033
    [37]
    HERZOG W. The role of titin in eccentric muscle contraction[J]. The Journal of Experimental Biology, 2014, 217(16): 2825-2833 doi: 10.1242/jeb.099127
    [38]
    ROWEN D A, LIKENS A D, STERGIOU N. Revisiting a classic: Muscles, Reflexes, and Locomotion by McMahon[M]//STERGIOU N. Biomechanics and Gait Analysis. London: Academic Press, 2020: 149-224
    [39]
    FUNG Y C. Biomechanics: Mechanical Properties of Living Tissues[M]. New York, NY: Springer, 1993
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