Zero-Shot Learning for Quadrupedal Locomotion in Challenging Terrains using RPPO

The author presents ZSL-RPPO, an improved zero-shot learning architecture that enhances locomotion control for quadrupedal robots in challenging terrains through RPPO. By directly training recurrent neural networks and utilizing domain randomization, the approach achieves robustness and generalization in locomotion control.