Closed Loop Magnetic
Closed-loop magnetic control systems are being developed to precisely manipulate small, often flexible, devices within confined spaces. Current research focuses on improving control accuracy and reducing error through advanced algorithms like reinforcement learning and extended state observers, applied to diverse systems including medical robots and tokamak plasma control. These advancements are driving progress in minimally invasive surgery, robotic ultrasound, and other applications requiring precise, real-time manipulation of magnetically responsive objects. The resulting improvements in control precision and efficiency have significant implications for various scientific fields and technological applications.
Papers
August 6, 2024
July 21, 2023
January 16, 2023