Abstract: This letter addresses critical challenges in the dynamic modeling of biomimetic underwater robots, including heavy reliance on prior knowledge and difficulties in tracking time-varying ...

Abstract: This paper presents a Long Short-Term Memory network-based Fluid Experiment Data-Driven model (FEDLSTM) for predicting unsteady, nonlinear hydrodynamic forces on the underwater quadruped ...