A Lightweight Physics-Informed Neural Network for Sim-To-Real of Biped Robot
In this paper, we present a low-cost, easy-to-implement sim-to-real framework for biped locomotion that narrows the reality gap using only simulation data, without motion-capture or additional real-world measurements. First, a walking policy for the BRUCE robot is trained in Isaac Gym via reinforcem…