Zhenfeng Li
Papers
2
Total Citations
13
H-Index
2
About
Zhenfeng Li is a pioneering researcher in the field of multi-robot systems and environmental sensing, with a primary focus on robotic olfaction and airborne particulate matter source localization. His work addresses the critical challenge of detecting and tracking time-varying pollutant sources in complex, dynamic indoor environments—a problem with profound implications for public health, industrial safety, and disaster response. Li’s major contributions include the development of novel 3D multi-robot coordination strategies that enable efficient localization of odor and particulate sources even when they fluctuate in intensity and height, as demonstrated in naturally ventilated spaces. His experimental studies, such as those on efficient particulate matter source localization, have achieved notable impact, with his 2024 papers garnering 8 and 5 citations respectively in a short time, signaling growing recognition. By integrating swarm robotics with advanced olfaction algorithms, Li has advanced the practical deployment of autonomous teams for environmental monitoring, offering scalable solutions for real-world air quality management.
Research Focus
Key Achievements
Top Papers
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