Yangyu Luo

Shandong Institute of Automation, Chinese Academy of Sciences, Tsinghua University

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About

Yangyu Luo’s research bridges the frontiers of intelligent robotics and medical automation, with a focus on autonomous navigation, surgical robotics, and dynamic control systems. His early work introduced a goal-oriented fuzzy reactive control method for mobile robots navigating unknown environments, addressing complex trap situations like U-shaped obstacles through a virtual target approach—a contribution that remains foundational for autonomous navigation. In medical robotics, Luo pioneered a spatial mapping method for craniosynostosis surgical robots, leveraging point cloud registration and region growing algorithms to automatically align preoperative CT data with robotic surgical paths, significantly improving precision in craniofacial surgery. He also developed a dynamic model-based motor control law for wheeled mobile robots, enabling synchronized motor control despite arbitrary mass center positions, and advanced robot-aided coagulation therapy systems for liver cancer by optimizing destination planning and space mapping to streamline manual robot manipulation. With over 17 citations across his most-cited works, Luo’s interdisciplinary contributions have advanced both autonomous navigation and minimally invasive surgical robotics, demonstrating a sustained impact on real-world robotic applications.