2022 10th RSI International Conference on Robotics and Mechatronics (ICRoM), Год журнала: 2024, Номер unknown, С. 107 - 112
Опубликована: Дек. 17, 2024
Язык: Английский
2022 10th RSI International Conference on Robotics and Mechatronics (ICRoM), Год журнала: 2024, Номер unknown, С. 107 - 112
Опубликована: Дек. 17, 2024
Язык: Английский
Sensors, Год журнала: 2025, Номер 25(7), С. 2020 - 2020
Опубликована: Март 24, 2025
This research presents the results of conceptual design and modeling an exoskeleton. It is intended for ankle joint rehabilitation in patients with musculoskeletal disorders. The exoskeleton includes three screw actuators that smoothly control motion planes dorsal plantar flexion, inversion, eversion. virtual tests performed on device demonstrated a high degree adaptability to varying loads different phases motion. Controlled torque fluctuations linear provide necessary support during rehabilitation, which has positive impact patient's recovery rate. advantages include material availability, ease use, flexibility customization, making it attractive option use both clinical home settings. study emphasizes importance developing affordable accurate devices can adapt individual patient needs.
Язык: Английский
Процитировано
0International Journal of Control Automation and Systems, Год журнала: 2025, Номер 23(3), С. 798 - 809
Опубликована: Март 10, 2025
Язык: Английский
Процитировано
0Sensors, Год журнала: 2024, Номер 24(23), С. 7845 - 7845
Опубликована: Дек. 8, 2024
Soft exoskeletons (exosuits) are expected to provide a comfortable wearing experience and compliant assistance compared with traditional rigid exoskeleton robots. In this paper, an exosuit twisted string actuators (TSAs) is developed high-strength variable-stiffness actuation for hemiplegic patients. By formulating the analytic model of TSA decoding human impedance characteristic, human-exosuit coupled dynamic constructed. An adaptive controller designed transfer skills patient's healthy limb (HL) bilateral impaired (IL) mirror training strategy, including movement trajectory stiffness profiles. A reinforcement learning (RL) algorithm proposed optimize robotic by adapting parameters subject's performance. Experiments conducted demonstrate effectiveness superiority method.
Язык: Английский
Процитировано
02022 10th RSI International Conference on Robotics and Mechatronics (ICRoM), Год журнала: 2024, Номер unknown, С. 107 - 112
Опубликована: Дек. 17, 2024
Язык: Английский
Процитировано
0