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Yidong Du

2 accepted papers

2025

DSE: A Denoising State Estimator for RL-Based Bipedal Robot Locomotion

RA-L 2025

Recent advancements in legged robot locomotion and reinforcement learning have demonstrated significant potential for the development of bipedal robot. But the state estimation accuracy and bipedal robot locomotion robustness of Reinforcement Learning based (RL-based) controller is significantly inf

Cited by 0SourceScholar
2024

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

IROS 2024poster

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…

Cited by 0SourceScholar