Xianwei Liu — accepted AI-conference papers

2025

Optimal Design of High-Dynamic Robotic Arm Based on Angular Momentum Maximum

Yanyan Yuan, Xianwei Liu, Lei Jiang, Yongbin Jin, Hongtao Wang

RA-L 2025

In industrial applications, precision and load capacity are critical performance metrics for robotic arms. These requirements are typically addressed using high-gear-ratio designs. However, robotic arms are increasingly tasked with high-dynamic operations, such as smashes in sports and object throwi

Cited by 1 Source ↗Scholar ↗

2022

Learning Free Gait Transition for Quadruped Robots Via Phase-Guided Controller

Yecheng Shao, Yongbin Jin, Xianwei Liu, Weiyan He, Hongtao Wang, Wei Yang

RA-L 2022

Gaits and transitions are key components in legged locomotion. For legged robots, describing and reproducing gaits as well as transitions remain longstanding challenges. Reinforcement learning has become a powerful tool to formulate controllers for legged robots. Learning multiple gaits and transiti

Cited by 86 Source ↗code ↗Scholar ↗