Open Access
Issue |
MATEC Web Conf.
Volume 398, 2024
2nd International Conference on Modern Technologies in Mechanical & Materials Engineering (MTME-2024)
|
|
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Article Number | 01006 | |
Number of page(s) | 11 | |
DOI | https://doi.org/10.1051/matecconf/202439801006 | |
Published online | 25 June 2024 |
- Y. J. Choo and M. C. Chang, “Commonly used types and recent development of ankle-foot orthosis: A narrative review,” in Healthcare, 2021, p. 1046. [CrossRef] [Google Scholar]
- K. H. Al-Waeli, R. Ramli, S. M. Haris, Z. B. Zulkoffli, and M. S. Amiri, “Offline ANN-PID controller tuning on a multi-joints lower limb exoskeleton for gait rehabilitation,” IEEE Access, vol. 9, pp. 107360–107374, 2021. [CrossRef] [Google Scholar]
- W. Huo, S. Mohammed, J. C. Moreno, and Y. Amirat, “Lower limb wearable robots for assistance and rehabilitation: A state of the art,” IEEE Syst. J., vol. 10, no. 3, pp. 1068–1081, 2014. [Google Scholar]
- V. V Kulkarni, V. A. Kulkarni, and R. Talele, “PID controller-based DC motor speed control,” Int. J. Recent Innov. Trends Comput. Commun., vol. 5, no. 9, pp. 35–38, 2017. [Google Scholar]
- M. S. Amiri, R. Ramli, M. A. A. Tarmizi, M. F. Ibrahim, and K. Danesh Narooei, “Simulation and control of a six degree of freedom lower limb exoskeleton,” J. Kejuruter, vol. 32, no. 2, pp. 197–204, 2020. [CrossRef] [Google Scholar]
- P. D. Phuoc, T. X. Tuy, and others, “Research control for ankle joint rehabilitation device,” J. Mech. Eng. Sci., vol. 16, no. 1, pp. 8743–8753, 2022. [CrossRef] [Google Scholar]
- D. P. Allen, R. Little, J. Laube, J. Warren, W. Voit, and R. D. Gregg, “Towards an ankle-foot orthosis powered by a dielectric elastomer actuator,” Mechatronics, vol. 76, p. 102551, 2021. [CrossRef] [Google Scholar]
- T. R. Dillingham, L. E. Pezzin, and A. D. Shore, “Reamputation, mortality, and health care costs among persons with dysvascular lower-limb amputations,” Arch. Phys. Med. Rehabil., vol. 86, no. 3, pp. 480–486, 2005. [CrossRef] [Google Scholar]
- D. A. Winter, “Energy generation and absorption at the ankle and knee during fast, natural, and slow cadences.,” Clin. Orthop. Relat. Res., vol. 175, pp. 147–154, 1983. [Google Scholar]
- T. Lee, I. Kim, and Y. S. Baek, “Design of a 2dof ankle exoskeleton with a polycentric structure and a bi-directional tendon-driven actuator controlled using a pid neural network,” in Actuators, 2021, p. 9. [Google Scholar]
- M. Moradnia, S. Pouladi, M. Aqib, and J.-H. Ryou, “Thermodynamic Analysis of Group-III-Nitride Alloying with Yttrium by Hybrid Chemical Vapor Deposition,” Nanomaterials, vol. 12, no. 22, p. 4053, 2022. [CrossRef] [Google Scholar]
- M. Aqib et al., “Design and implementation of shape-adaptive and multifunctional robotic gripper,” J. F. Robot., vol. 41, no. 1, pp. 162–178, 2024. [CrossRef] [Google Scholar]
- J. Liu, H. Fang, and J. Xu, “Online adaptive PID control for a multi-joint lower extremity exoskeleton system using improved particle swarm optimization,” Machines, vol. 10, no. 1, p. 21, 2021. [CrossRef] [Google Scholar]
- J. Wu, J. Gao, R. Song, R. Li, Y. Li, and L. Jiang, “The design and control of a 3DOF lower limb rehabilitation robot,” Mechatronics, vol. 33, pp. 13–22, 2016. [CrossRef] [Google Scholar]
- S. Gharatappeh, H. J. Asl, and J. Yoon, “Design of a novel Assist-As-Needed controller for gait rehabilitation using a cable-driven robot,” in 2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), 2016, pp. 342–347. [Google Scholar]
- S. K. Hasan and A. K. Dhingra, “An adaptive controller for human lower extremity exoskeleton robot,” Microsyst. Technol., vol. 27, no. 7, pp. 2829–2846, 2021. [CrossRef] [Google Scholar]
- M. Aqib, S. Pouladi, M. Moradnia, R. P. R. Kumar, N.-I. Kim, and J.-H. Ryou, “Strain accumulation and relaxation on crack formation in epitaxial AlN film on Si (111) substrate,” Appl. Phys. Lett., vol. 124, no. 4, 2024. [CrossRef] [Google Scholar]
- M. Arsalan, M. Tufail, S. G. Khan, and S. H. Shah, “Adaptive Learning Inertia Control of Lower Limb Exoskeleton Robot.,” in 2021 International Conference on Robotics and Automation in Industry (ICRAI), 2021, pp. 1–6. [Google Scholar]
- M. Arsalan, S. ur Rehaman, M. Umair, A. Imran, and G. Iqbal, “Feedback Linearization Control of Lower Limb Exoskeleton Robot for Rehabilitation,” in MATEC Web of Conferences, 2023, p. 1016. [Google Scholar]
- S. H. Shah, M. Arsalan, S. G. Khan, M. T. Khan, and M. S. Alam, “Design and compliance control of a robotic gripper for orange harvesting,” Proc. 22nd Int. Multitopic Conf. INMIC 2019, pp. 1–5, 2019, doi: 10.1109/INMIC48123.2019.9022758. [Google Scholar]
- S. H. Shah, M. S. Alam, M. Arsalan, I. ul Haq, S. G. Khan, and J. Iqbal, “Design and Adaptive Compliance Control of a Wearable Walk Assist Device,” in 2023 International Conference on Robotics and Automation in Industry (ICRAI), 2023, pp. 1–7. [Google Scholar]
- S. Masroor, M. Arsalan, S. G. Khan, S. H. Shah, M. S. Alam, and A. Imran, “Design and Control of a Bionic Leg,” in 2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT), 2023, pp. 1–6. [Google Scholar]
- “https://kinxlearning.com/blogs/news/ankle-joint-eversion-and-inversion.” [Google Scholar]
- M. W. Spong, J. De Schutter, H. Bruyninckx, and J. T.-Y. Wen, “Control of robots and manipulators,” in Control System Applications, CRC Press, 2018, pp. 165–193. [Google Scholar]
- I. N. Afiah, H. Nakashima, and S. Muraki, “Age-related changes in walking motion of Japanese females: basic analysis of gait motion,” 대한인간공학회 학술대회논문집, pp. 640–644, 2014. [Google Scholar]
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