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A highly flexible power-assisted exoskeleton and its comforting evaluation

Published online by Cambridge University Press:  16 October 2025

Limin Ren
Affiliation:
School of Mechanical Engineering, Northeast Electric Power University, Jilin, Jilin, China
Enhe Kou
Affiliation:
School of Mechanical Engineering, Northeast Electric Power University, Jilin, Jilin, China
Lirong Jian
Affiliation:
School of Economics and Management, Jiujiang Polytechnic University of Science and Technology, Gongqing City, Jiangxi, China
Shixun Li
Affiliation:
School of Mechanical Engineering, Northeast Electric Power University, Jilin, Jilin, China
En Jiang
Affiliation:
School of Mechanical Engineering, Northeast Electric Power University, Jilin, Jilin, China
Xu Zhang
Affiliation:
School of Mechanical Engineering, Northeast Electric Power University, Jilin, Jilin, China
Huan Zhu
Affiliation:
School of Mechanical Engineering, Northeast Electric Power University, Jilin, Jilin, China
Shuairan Xu
Affiliation:
School of Mechanical Engineering, Northeast Electric Power University, Jilin, Jilin, China
Yisong Tan*
Affiliation:
School of Mechanical Engineering, Northeast Electric Power University, Jilin, Jilin, China
*
Corresponding Author: Yisong Tan; Email: tanyisong@neepu.edu.cn

Abstract

A flexible power assistive exoskeleton is proposed in this study to overcome limitations in range of motion, assistance, and comfort existing in current exoskeletons. The flexible power assistive exoskeleton is made of three springs that store energy from shoulder movements to provide assistance. It uses biomechanical models to simulate muscle forces. It is highly portable and comfortable, with only 83.29 g weight. A theoretical model was established to address the relationship between body work and output force. An evaluation system is proposed to assess the comfort effect of the assistive exoskeleton. Results show that the assistive exoskeleton can support all ranges of motion for the human upper limbs. It can offer up to 14.2% assistance. It also has a mass-to-assistance value of 120. For a comforting evaluation, its satisfaction rate reaches 93.4%. In summary, we present a highly flexible power-assisted exoskeleton with a large motion range, noticeable assistance effect, and high comfortability. This work contributes to the development of flexible assistive exoskeletons and comforting evaluation strategies for wearable devices.

Information

Type
Research Article
Copyright
© The Author(s), 2025. Published by Cambridge University Press

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References

Reed, M. P., Ebert, S. M. and Vallier, T. R., “Reclined postures in vehicle seats: Preferred seatback contours and head support locations,” Appl. Ergonom. 125, 104479 (2025).10.1016/j.apergo.2025.104479CrossRefGoogle ScholarPubMed
Liu, J. and Qu, X., “Postural stability and risk of slips in lifting tasks: Effects of load weight and load knowledge,” Int. J. Ind. Ergonom. 105, 103675 (2025).10.1016/j.ergon.2024.103675CrossRefGoogle Scholar
Cong, M., Dong, W., Gao, Y., Long, Y., Wang, W. and Dong, H., “A new type of time-varying terminal load energy harvester: Design, simulation, and experiments,” Energy 313, 133882 (2024).10.1016/j.energy.2024.133882CrossRefGoogle Scholar
Cong, M., Gao, Y., Wang, W., He, L., Mao, X., Long, Y. and Dong, W., “A broadband hybrid energy harvester with displacement amplification decoupling structure for ultra-low vibration energy harvesting,” Energy 290, 130089 (2024).10.1016/j.energy.2023.130089CrossRefGoogle Scholar
Zeiaee, A., Soltani-Zarrin, R., Langari, R. and Tafreshi, R., “Kinematic design optimization of an eight degree-of-freedom upper-limb exoskeleton,” Robotica 37, 20732086 (2019).10.1017/S0263574719001085CrossRefGoogle Scholar
Ercolini, G., Trigili, E., Baldoni, A., Crea, S. and Vitiello, N., “A novel generation of ergonomic upper-limb wearable robots: Design challenges and solutions,” Robotica 37, 20562072 (2019).10.1017/S0263574718001340CrossRefGoogle Scholar
Cong, M., Gao, Y., Wang, W., He, L., Mao, X., Long, Y. and Dong, W., “Asymmetry stagger array structure ultra-wideband vibration harvester integrating magnetically coupled nonlinear effects,” Appl. Energy 356, 122366 (2024).10.1016/j.apenergy.2023.122366CrossRefGoogle Scholar
Zhang, Y.-P., Cao, G.-Z., Li, L.-L. and Diao, D.-F., “Interactive control of lower limb exoskeleton robots: A review,” IEEE Sens. J. 24, 57595784 (2024).10.1109/JSEN.2024.3352005CrossRefGoogle Scholar
Yang, L., Zhang, F. and Fu, Y., “A cable-driven elbow exoskeleton with variable stiffness actuator for upper limb rehabilitation,” Robotica 43, 662679 (2025).10.1017/S026357472400211XCrossRefGoogle Scholar
Wang, W., Zhang, J., Kong, D., Su, S., Yuan, X. and Zhao, C., “Research on control method of upper limb exoskeleton based on mixed perception model,” Robotica 40, 36693685 (2022).10.1017/S0263574722000480CrossRefGoogle Scholar
Verdel, D., Bastide, S., Vignais, N., Bruneau, O. and Berret, B., “An identification-based method improving the transparency of a robotic upper limb exoskeleton,” Robotica 39, 17111728 (2021).10.1017/S0263574720001459CrossRefGoogle Scholar
Carbone, G. and Copilusi, C., “Experimental Testing of BaPaMAN 1 with a High Speed Motion Analysis System. In: 2014 IEEE International Conference on Automation, Quality and Testing, Robotics (2014) pp. 16 .10.1109/AQTR.2014.6857839CrossRefGoogle Scholar
Carbone, G.. Stiffness Performance of Multibody Robotic Systems. In: 2006 IEEE International Conference on Automation, Quality and Testing, Robotics, vol. 2 (2006) pp. 219224.Google Scholar
Curcio, E. M., Lago, F. and Carbone, G., “Design models and performance analysis for a novel shape memory alloy-actuated wearable hand exoskeleton for rehabilitation,” IEEE Robot. Autom. Lett. 9, 89058912 (2024).10.1109/LRA.2024.3455901CrossRefGoogle Scholar
Vitiello, N., Lenzi, T., Roccella, S., De Rossi, S. M. M., Cattin, E., Giovacchini, F., Vecchi, F. and Carrozza, M. C., “NEUROExos: A powered elbow exoskeleton for physical rehabilitation,” IEEE Trans. Robot. 29, 220235 (2013).10.1109/TRO.2012.2211492CrossRefGoogle Scholar
Van Tunen, B., Van Lieshout, EMM., Mader, K. and Den Hartog, D., “Complications and range of motion of patients with an elbow dislocation treated with a hinged external fixator: A retrospective cohort study,” Eur. J Trauma Emerg. Surgery 48, 48894896 (2022).10.1007/s00068-022-02013-xCrossRefGoogle ScholarPubMed
Zhao, D., Wang, S., Sun, S., Zhang, X. and Vänni, K.. Experimental Evaluation of a Passive Upper Limb Exoskeleton for High Voltage Live-Line Operations. In: 2024 16th International Conference on Intelligent Human–Machine Systems and Cybernetics (IHMSC) (IEEE , Hangzhou, 2024) pp. 183187.Google Scholar
Veeger, H. E. J. and Van Der Helm, F. C. T., “Shoulder function: The perfect compromise between mobility and stability,” J. Biomech. 40, 21192129 (2007).10.1016/j.jbiomech.2006.10.016CrossRefGoogle ScholarPubMed
Zhu, Y., Zhang, G., Li, H. and Zhao, J., “Automatic load-adapting passive upper limb exoskeleton,” Adv. Mech. Eng. 9, 168781401772994 (2017).10.1177/1687814017729949CrossRefGoogle Scholar
Carbone, G. and Nemec, B., “Foreword for special issue for RAAD 2013 Conference – ROBOTICA,” Robotica 33, 10331033 (2015).10.1017/S0263574715000296CrossRefGoogle Scholar
Li, Z., Song, M., Zheng, H., Zhang, Y., Shen, C. and Chen, W.. Design of a Lightweight Passive Shoulder Exoskeleton with Variable Stiffness Mechanisms. In: 2024 IEEE 19th Conference on Industrial Electronics and Applications (ICIEA), IEEE , Kristiansand, 2024) pp. 16.Google Scholar
Cao, Q., Li, L., Li, J., Li, R. and Wang, X., “A methodology to quantify human–robot interaction forces: A case study of a 4-DOFs upper extremity rehabilitation robot,” Robotica 43, 14691490 (2025).10.1017/S0263574725000335CrossRefGoogle Scholar
Chang, Z., Gao, R. and Sun, F., “Development and kinematics/dynamics analysis of novel hybrid hand with flexible coupling chain,” Robotica, 122 (2025).10.1017/S026357472510204XCrossRefGoogle Scholar
Li, L., Zhang, H., Jin, X., Chen, Q. and Ye, W., “Motion/force transmissibility analysis and inverse kinematics optimization of kinematically redundant parallel mechanisms,” Robotica, 43, 30583079 (2025).10.1017/S0263574725102026CrossRefGoogle Scholar
Han, J., Xu, C., Zhang, J., Xu, N., Xiong, Y., Cao, X., Liang, Y., Zheng, L., Sun, J., Zhai, J., Sun, Q. and Wang, Z. L., “Multifunctional coaxial energy fiber toward energy harvesting, storage, and utilization,” ACS Nano 15(1), 15971607 (2021). ISSN: 1936-086X.CrossRefGoogle ScholarPubMed
Shi, Y., Guo, M., Zhong, H., Ji, X., Xia, D., Luo, X. and Yang, Y., “Kinetic walking energy harvester design for a wearable bowden cable-actuated exoskeleton robot,” Micromachines-BASEL 13, 571 (2022).CrossRefGoogle ScholarPubMed
Xie, L., Huang, G., Huang, L., Cai, S. and Li, X., “An unpowered flexible lower limb exoskeleton: Walking assisting and energy harvesting,” IEEE/ASME Trans. Mechatron. 24(5), 22362247 (2019).10.1109/TMECH.2019.2933983CrossRefGoogle Scholar
Xu, C., Song, Y., Han, M. and Zhang, H., “Portable and wearable self-powered systems based on emerging energy harvesting technology,” Microsyst. Nanoeng. 7, 25 (2021).10.1038/s41378-021-00248-zCrossRefGoogle ScholarPubMed
Ferreira, F. M. R. M., de Paula Rúbio, G., Dutra, R. M. A., Van Petten, A. M. V. N. and Vimieiro, C. B. S., “Development of portable robotic orthosis and biomechanical validation in people with limited upper limb function after stroke,” Robotica 40, 42384256 (2022).10.1017/S0263574722000881CrossRefGoogle Scholar
Shi, H., “Hydraulic system based energy harvesting method from human walking induced backpack load motion,” Energ. Convers. Manage 229, 1137902021). ISSN 0196-8904.10.1016/j.enconman.2020.113790CrossRefGoogle Scholar
Wang, J., Yang, X., Sun, C., Chen, W., Lyu, M., Shi, H. and Chen, J.. Design of a Passive Self-Energy-Storage Wearable Elbow-Assisted Exoskeleton. In: 2022 IEEE 17th Conference on Industrial Electronics and Applications (ICIEA) (IEEE , Chengdu, 2022) pp. 13411346.10.1109/ICIEA54703.2022.10006339CrossRefGoogle Scholar
Zhang, R., Zhu, Y., Li, H., Lin, N. and Zhao, J. Development of a Parallel-Structured Upper Limb Exoskeleton for Lifting Assistance. In: IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) (IEEE, Hong Kong, 2019) pp. 307312.Google Scholar
Ren, L., Zhou, Y., Zhang, X., Zhang, H. and Tan, Y., “Active self-powered human motion assist system,” Smart Mater. Struct. 33(5), 055003 (2024).10.1088/1361-665X/ad31cdCrossRefGoogle Scholar
A 7 DOF exoskeleton arm: Shoulder, elbow, wrist and hand mechanism for assistance to upper limb disabled individuals. In: 2011 IEEE Africon (IEEE, Victoria Falls, Zambia, 2011) pp. 16.10.1109/AFRCON.2011.6072065CrossRefGoogle Scholar
Hsieh, H.-C., Chen, D.-F., Chien, L. and Lan, C.-C., “Design of a parallel actuated exoskeleton for adaptive and safe robotic shoulder rehabilitation,” IEEE/ASME Trans. Mechatron. 22(5), 20342045 (2017).10.1109/TMECH.2017.2717874CrossRefGoogle Scholar
Gunasekara, J. M. P., Gopura, R. A. R. C. and Jayawardena, T. S. S.. Redundant upper limb exoskeleton robot with passive compliance. In: 7th International Conference on Information and Automation for Sustainability, Colombo, Sri Lanka (IEEE, 2014) pp. 16.10.1109/ICIAFS.2014.7069595CrossRefGoogle Scholar
Castro, M. N., Rasmussen, J., Andersen, M. S. and Bai, S., “A compact 3-DOF shoulder mechanism constructed with scissors linkages for exoskeleton applications,” Mech. Mach. Theory 132, 264278 (2019).CrossRefGoogle Scholar
Balser, F., Desai, R., Ekizoglou, A. and Bai, S., “A novel passive shoulder exoskeleton designed with variable stiffness mechanism,” IEEE Robot. Autom. Lett. 7, 27482754 (2022).10.1109/LRA.2022.3144529CrossRefGoogle Scholar
Gherardini, M., Ianniciello, V., Masiero, F., Paggetti, F., D’Accolti, D., La Frazia, E., Mani, O., Dalise, S., Dejanovic, K., Fragapane, N., Maggiani, L., Ipponi, E., Controzzi, M., Nicastro, M., Chisari, C., Andreani, L. and Cipriani, C., “Restoration of grasping in an upper limb amputee using the myokinetic prosthesis with implanted magnets,” Sci. Robot 9, eadp3260 (2024).10.1126/scirobotics.adp3260CrossRefGoogle Scholar
Sarkisian, S. V., Ishmael, M. K. and Lenzi, T., “Self-aligning mechanism improves comfort and performance with a powered knee exoskeleton,” IEEE Trans. Neural Syst. Rehab. Eng. 29, 629640 (2021).10.1109/TNSRE.2021.3064463CrossRefGoogle ScholarPubMed
Zhou, L., Bai, S., Andersen, M. and Rasmussen, J., “Modeling and design of a spring-loaded, cable-driven, wearable exoskeleton for the upper extremity,” Model., Ident. Control: A Norwegian Res. Bull. 36, 167177 (2015).10.4173/mic.2015.3.4CrossRefGoogle Scholar
Yu, L. and Bai, S., “A modified dynamic movement primitive algorithm for adaptive gait control of a lower limb exoskeleton,” IEEE Trans. Hum.-Mach. Syst. 54, 778787 (2024).10.1109/THMS.2024.3458905CrossRefGoogle Scholar
Dewi, D. S. and Septiana, T., “Workforce scheduling considering physical and mental workload: A case study of domestic freight forwarding,” Proced. Manuf. 4, 445453 (2015).Google Scholar