Xinbin Li

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About

Dr. Xinbin Li is a researcher whose work bridges marine technology and robotics, with a focus on intelligent perception and control systems. His most impactful contribution is the development of a "Multiple Attentional Path Aggregation Network for Marine Object Detection" (2022), which has garnered 80 citations for its innovative approach to enhancing detection accuracy in complex underwater environments. This work is critical for autonomous marine vehicles and environmental monitoring. In robotics, Dr. Li has advanced humanoid control through his study on "Dynamics modeling and fuzzy PD control of humanoid arm" (2017), where he applied Euler-Lagrange equations to model the Nao robot’s arm, enabling more precise and adaptive control—a foundational step for dexterous manipulation. Additionally, his research on "Consensus Tracking for Teleoperating Cyber-physical System" (2018) explores coordination in networked robotic systems, contributing to safer and more reliable remote operations. With a total of 93 citations across his key works, Dr. Li’s research demonstrates a clear trajectory from foundational robotics dynamics to cutting-edge AI-driven marine perception, highlighting his versatility and impact in both theoretical and applied domains.