Iterative Learning Control (ILC) has emerged as a robust and adaptive technique for addressing the intricate challenges posed by nonlinear systems. By capitalising on ...

Abstract: Transfer learning in robotics aims to transfer knowledge across different robot agents or tasks. Current methods in trajectory tracking problems leverage ...

Abstract: Traditional data-driven control methods often require large amounts of training data, posing significant challenges for continuum robots. Recently, neural ordinary differential equation ...