A journal of IEEE and CAA , publishes
high-quality papers in English on original
theoretical/experimental research
and development in all areas of automation
Volume 12
Issue 8
IEEE/CAA Journal of Automatica Sinica
| Citation: | C. Wang, L. Peng, and Z.-G. Hou, “Development and control of an upper-limb exoskeleton CASIA-EXO for motor learning in post-stroke rehabilitation,” IEEE/CAA J. Autom. Sinica, vol. 12, no. 8, pp. 1733–1735, Aug. 2025. doi: 10.1109/JAS.2024.124662
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V. L. Feigin, M. O. Owolabi, F. Abd-Allah, et al., “Pragmatic solutions to reduce the global burden of stroke: A world stroke organization-lancet neurology commission,” The Lancet Neurology, vol. 22, no. 12, pp. 1160–1206, 2023. doi: 10.1016/S1474-4422(23)00277-6
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G. Kwakkel, B. J. Kollen, and H. I. Krebs, “Effects of robot-assisted therapy on upper limb recovery after stroke: A systematic review,” Neurorehabil. Neural Repair, vol. 22, no. 2, pp. 111–121, 2008. doi: 10.1177/1545968307305457
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P. Maciejasz, J. Eschweiler, K. Gerlach-Hahn, et al., “A survey on robotic devices for upper limb rehabilitation,” J. NeuroEng. Rehabil., vol. 11, pp. 1–29, 2014. doi: 10.1186/1743-0003-11-1
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R. Riener, M. Guidali, U. Keller, et al., “Transferring armin to the clinics and industry,” Top. Spinal Cord Inj. Rehabil., vol. 17, no. 1, pp. 54–59, 2011. doi: 10.1310/sci1701-54
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Y. Zimmermann, M. Sommerhalder, P. Wolf, et al., “Anyexo 2.0: A fully actuated upper-limb exoskeleton for manipulation and joint-oriented training in all stages of rehabilitation,” IEEE Trans. Robot., vol. 39, no. 3, pp. 2131–2150, 2023.
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J. Sun, Y. Shen, and J. Rosen, “Sensor reduction, estimation, and control of an upper-limb exoskeleton,” IEEE Robot. Autom. Lett., vol. 6, no. 2, pp. 1012–1019, 2021. doi: 10.1109/LRA.2021.3056366
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N. Yu, W. Zou, W. Tan, and Z. Yang, “Augmented virtual stiffness rendering of a cable-driven SEA for human-robot interaction,” IEEE/CAA J. Autom. Sinica, vol. 4, no. 4, pp. 714–723, 2017. doi: 10.1109/JAS.2017.7510637
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H. Ren, Z. Liu, H. Liang, and H. Li, “Pinning-based neural control for multiagent systems with self-regulation intermediate event-triggered method,” IEEE Trans. Neural Netw. Learn. Syst., vol. 36, no. 4, pp. 7252–7262, 2025 doi: 10.1109/TNNLS.2024.3386881
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H. Xia, Y. Zhang, N. Rajabi, et al., “Shaping high-performance wearable robots for human motor and sensory reconstruction and enhancement,” Nat. Commun., vol. 15, no. 1, pp. 1–12, 2024. doi: 10.1038/s41467-023-43650-z
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N. Hogan, “An organizing principle for a class of voluntary movements,” J. Neurosci., vol. 4, no. 11, pp. 2745–2754, 1984. doi: 10.1523/JNEUROSCI.04-11-02745.1984
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