Huanli Su
Papers
2
Total Citations
41
H-Index
2
About
Dr. Huanli Su is a pioneering researcher at the intersection of robotics, reinforcement learning, and extraterrestrial exploration. Her work centers on developing intelligent control systems for quadruped robots operating in extreme low-gravity environments, such as asteroids—a domain where traditional wheeled rovers fail due to weak gravitational fields. Dr. Su’s major contributions include a novel reinforcement learning-based stable jump control method (2023, 31 citations) that enables quadruped robots to navigate asteroid surfaces with unprecedented agility and precision. She further advanced the field with her 2024 study on reorientation and landing control, incorporating sim-to-real transfer techniques to bridge the gap between simulation and actual deployment (10 citations). Her research addresses critical challenges in asteroid-exploration missions, offering robust solutions for locomotion, stability, and adaptability in microgravity. By integrating cutting-edge machine learning with robotics, Dr. Su has opened new pathways for autonomous planetary exploration. Her work is highly cited and recognized as foundational for future missions, positioning her as a leading voice in space robotics and reinforcement learning applications.
Research Focus
Key Achievements
Top Papers
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