Yuanyuan Li

University of Tennessee at Knoxville, Tianjin Polytechnic University

Papers

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About

Yuanyuan Li’s research lies at the intersection of wireless sensor networks, intelligent robotics, and teleoperation systems, with a focus on creating autonomous, responsive security and control frameworks. Her most influential contribution is the development of an intruder detection system that integrates a wireless sensor network with an intelligent mobile robot response. This work, published in 2008 and garnering 62 citations, introduced an unsupervised fuzzy Adaptive Resonance Theory (ART) neural network that enables the system to learn and detect intruders in unknown environments without prior training—a significant advance in adaptive security. Li’s system demonstrates how sensor-driven robots can autonomously patrol and respond to threats, bridging the gap between static sensing and dynamic intervention. She has also contributed to teleoperation research, exploring control strategies to address stability and transparency issues caused by time delays in remote manipulation systems. Her work is foundational for students and researchers interested in autonomous surveillance, human-robot interaction, and intelligent sensor fusion, offering practical solutions for real-world security challenges.