Yanan Li

Agency for Science, Technology and Research, Zhejiang Lab, Jilin University

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About

Yanan Li is a versatile robotics and artificial intelligence researcher whose work spans human-robot interaction, adaptive control, computer vision, and tactile sensing. His most influential contribution, "Adaptive Optimal Control for Coordination in Physical Human-Robot Interaction" (2015, 18 citations), established a sophisticated framework leveraging game theory and policy iteration to enable robots to estimate and adapt to human control objectives in real time — a landmark advance in collaborative robotics. This work laid critical groundwork for safer, more intuitive human-robot partnerships in applications ranging from rehabilitation to industrial automation. Li has also explored the intersection of perception and robotics through object recognition, proposing innovative ensemble neural network approaches combined with force sensing to improve tactile-based identification systems. More recently, his research has extended into open-world computer vision, addressing the challenging problem of instance detection in novel scenes — a frontier with significant implications for autonomous systems and embodied AI. With contributions spanning nearly a decade across multiple disciplines, Li exemplifies the interdisciplinary researcher bridging control theory, machine learning, and robotic perception, making his work of enduring relevance to students and practitioners in intelligent systems and robotics alike.