Botao Liu — accepted AI-conference papers

2026

VectorGlide: Realizing Continuum Drive Paradigm via Integrated Contact Kino-Dynamic MPC for Wheeled Quadruped Robots

Zhihao Zhang, Fei Meng, Maosen Wang, Botao Liu, Zhicheng Yuan, Wenyun He +3

RA-L 2026

This letter addresses the inherent inefficiencies and limited agility of traditional gait-based locomotion by proposing the continuum drive paradigm as a high-performance alternative. Existing control frameworks are limited by their simplified predictive models and decoupled planners, which prevent

Cited by 0 Source ↗Scholar ↗

2024

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

Yidong Du, Xuechao Chen, Zhangguo Yu, Yuanxi Zhang, Zishun Zhou, Jindai Zhang +3

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 0 Source ↗Scholar ↗