Open Access
| Issue |
ITM Web Conf.
Volume 84, 2026
2026 International Conference on Advent Trends in Computational Intelligence and Data Science (ATCIDS 2026)
|
|
|---|---|---|
| Article Number | 04022 | |
| Number of page(s) | 7 | |
| Section | Computer Vision, Robotic Systems, and Intelligent Control | |
| DOI | https://doi.org/10.1051/itmconf/20268404022 | |
| Published online | 06 April 2026 | |
- V. L. Feigin, M. Brainin, B. Norrving, S. O. Martins, J. Pandian, P. Lindsay, M. F. Grupper, and I. Rautalin, World Stroke Organization: Global stroke fact sheet 2025. Int. J. Stroke 20(2), 132–144 (2025) [Google Scholar]
- J. Nassour, G. Zhao, and M. Grimmer, Soft pneumatic elbow exoskeleton reduces the muscle activity, metabolic cost and fatigue during holding and carrying of loads. Sci. Rep. 11(1), 12556 (2021) [Google Scholar]
- G. Figliolini, C. Lanni, L. Tomassi, and J. Ortiz, Eight-bar elbow joint exoskeleton mechanism. Robotics 13(9), 125 (2024) [Google Scholar]
- M. Malosio, N. Pedrocchi, F. Vicentini, and L. M. Tosatti, Analysis of elbow-joints misalignment in upper-limb exoskeleton. In Proc. IEEE Int. Conf. Rehabil. Robot. (ICORR), 5975393 (2011) [Google Scholar]
- M. Hosseini, R. Meattini, A. San-Millan, G. Palli, C. Melchiorri, and J. Paik, A sEMG-driven soft exosuit based on twisted string actuators for elbow assistive applications. IEEE Robot. Autom. Lett. 5(3), 4094–4101 (2020) [Google Scholar]
- E. Bardi, M. Gandolla, F. Braghin, F. Resta, A. L. G. Pedrocchi, and E. Ambrosini, Upper limb soft robotic wearable devices: A systematic review. J. Neuroeng. Rehabil. 19(1), 87 (2022) [Google Scholar]
- M. A. Gull, S. Bai, and T. Bak, A review on design of upper limb exoskeletons. Robotics 9(1), 16 (2020) [Google Scholar]
- L. M. Ferreira, G. J. King, and J. A. Johnson, Motion-derived coordinate systems reduce inter-subject variability of elbow flexion kinematics. J. Orthop. Res. 29(4), 596–601 (2011) [Google Scholar]
- B. Jenks, H. Levan, and F. Stefanovic, OpenSEA: A 3D printed planetary gear series elastic actuator for a compliant elbow joint exoskeleton. Front. Robot. AI 12, 1528266 (2025) [Google Scholar]
- E. P. Sridhar, V. Erel, A. Nasirian, M. B. J. Wijesundara, and M. Rahman, Design, development, and evaluation of a pneumatically actuated soft wearable robotic elbow exoskeleton for reducing muscle activity and perceived workload. J. Rehabil. Assist. Technol. Eng. 12, 20556683251347517 (2025) [Google Scholar]
- Q. Wu, Z. Wang, and Y. Chen, sEMG-based adaptive cooperative multi-mode control of a soft elbow exoskeleton using neural network compensation. IEEE Trans. Neural Syst. Rehabil. Eng. 31, 3384–3396 (2023) [Google Scholar]
- C. Chuang, X. Zhang, X. Chen, W. Dai, L. Chen, D. Zhang, H. Zhang, J. Jiang, and H. Lu, Flexible exoskeleton control based on binding alignment strategy and full-arm coordination mechanism. arXiv:2503.01338 (2025) [Google Scholar]
- M. Tian, Y. Liu, Z. Chen, X. Wang, Q. Zhang, and B. Liu, Biomimetic design and validation of an adaptive cable-driven elbow exoskeleton inspired by the shrimp shell. Biomimetics 10(5), 271 (2025) [Google Scholar]
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