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About

Lingyan Zhao is a pioneering researcher in biomechanics and robotic control systems, with a primary focus on human motion analysis and surgical robotics. Her seminal work, "Three-dimensional motion of the pelvis during human walking" (2006, 20 citations), introduced an innovative treadmill-based method for measuring pelvic kinematics, offering a practical alternative to traditional techniques for clinical gait analysis. This contribution has been foundational for understanding equilibrium control during locomotion. In robotics, Zhao has advanced task-space regulation for rigid-link electrically-driven robots, employing neural networks to overcome uncertain kinematics (2021, 11 citations)—a critical step for real-world applications where joint-space control falls short. Notably, her development of an automatic laparoscope guidance system (2016, 8 citations), driven by region-of-interest tracking, addresses a key challenge in robot-assisted laparoscopic surgery by reducing reliance on human camera operators and improving surgical precision. Most recently, her kinematics study of six-axis industrial robots (2024) leverages virtual simulation to enhance robotic design and control. With a career bridging human movement science and autonomous robotic systems, Zhao’s work has garnered over 40 citations, demonstrating its impact on both clinical practice and engineering innovation.