Abstract: This study proposes an Adaptive Quaterniondriven Gaussian Process Unscented Kalman Filter (AQGPUKF) framework, optimized for nonlinear gait dynamics, motion velocity sensitivity, and ...
Abstract: Reinforcement learning (RL) with physics-informed dynamics models leverages known environments’ physics to improve data efficiency. Recently, we have introduced Gaussian Process ...