Tinghua Li

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About

Tinghua Li is a robotics researcher whose work sits at the intersection of sensor design, control theory, and autonomous navigation. His primary research focuses on developing source-seeking control algorithms for unicycle robots, enabling them to locate environmental sources—such as chemical plumes or airflow signals—using only local gradient measurements. Li’s major contributions include the experimental validation of these algorithms using novel 3D-printed flexible graphene-based piezoresistive airflow sensors, as demonstrated in his 2021 paper (19 citations). This work bridges the gap between soft sensor fabrication and real-time robotic control. More recently, Li has advanced the field by integrating collision-free navigation into source-seeking frameworks, employing control barrier functions (CBF) embedded in quadratic programming to ensure safe traversal of unknown cluttered environments (2024, 7 citations). His research is particularly notable for its practical, hardware-in-the-loop approach, combining theoretical control guarantees with real-world sensor performance. With a growing citation record and a focus on solving fundamental challenges in autonomous exploration, Li’s work is highly relevant for students and researchers interested in sensor-driven robotics, nonlinear control, and safe autonomous navigation.