2022 10th RSI International Conference on Robotics and Mechatronics (ICRoM), Год журнала: 2024, Номер unknown, С. 125 - 130
Опубликована: Дек. 17, 2024
Язык: Английский
2022 10th RSI International Conference on Robotics and Mechatronics (ICRoM), Год журнала: 2024, Номер unknown, С. 125 - 130
Опубликована: Дек. 17, 2024
Язык: Английский
Microchemical Journal, Год журнала: 2025, Номер unknown, С. 112846 - 112846
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL, Год журнала: 2024, Номер 19, С. 247 - 254
Опубликована: Сен. 27, 2024
In this paper, the globally linearizing control scheme is employed to guide an endovascular magnetic microrobot navigating within a blood vessel with objective of reaching desired target following trajectory generated via joystick device. First, we derive 1D nonlinear dynamical model for microrobot. Subsequently, stabilizing state feedback designed based on relative degree from geometric control, resulting in closed-loop linear system. To ensure tracking time-varying and reject disturbances, external proportional-integral controller bias used define variable The performance GLC evaluated numerical simulations. obtained results demonstrate output disturbance rejection capabilities scheme.
Язык: Английский
Процитировано
0Advanced Intelligent Systems, Год журнала: 2024, Номер unknown
Опубликована: Ноя. 28, 2024
Microrobotics, particularly in the field of biomedicine, has garnered considerable attention due to its potential for noninvasive medical interventions enabled by small size microrobots. However, controlling and imaging them present unique challenges compared their macroscale counterparts, primarily intricate anatomical spaces dynamic environments within human body. Existing modalities also face limitations, hindering real‐time visualization control microrobots deep tissue. Machine learning (ML) algorithms offer promising solutions these enabling adaptive motion enhancing image resolution through robust data analysis decision‐making capabilities. In this review, a comprehensive overview recent advancements ML‐based techniques microrobotic research is provided, emphasizing applications biomedical contexts. Additionally, current obstacles future directions ML microrobotics, regarding translation clinical settings, are discussed.
Язык: Английский
Процитировано
02022 10th RSI International Conference on Robotics and Mechatronics (ICRoM), Год журнала: 2024, Номер unknown, С. 125 - 130
Опубликована: Дек. 17, 2024
Язык: Английский
Процитировано
0