Jindai Zhang

Safe and Efficient Auto-tuning to Cross Sim-to-real Gap for Bipedal Robot

Recent advances in both legged robot locomotion and Reinforcement Learning have shown a promising path for developing bipedal robot controllers. While the difference in dynamics between real world and simulation, also known as reality gap, still hinders the use. In this paper, we focus on sim-to-rea…