3 accepted papers
Traditional data-driven control methods often require large amounts of training data, posing significant challenges for continuum robots. Recently, neural ordinary differential equation (NODE) methods have demonstrated impressive capabilities for data-efficient modeling of continuum robots. However,
As research into continuum robots flourishes, there are more and more types of continuum robots, which require researchers to tirelessly design robot-specific motion control algorithms. Besides, the convergence time of control systems for continuum robots has received very little attention. In this…
High accuracy is a necessary condition for reliable performance of micropositioning stages (MPSs). However, there are various sources of errors that affect their precision. Characterization is a prior step to calibration for compensating systematic errors so as to improve the positioning accuracy. I