Yicun Chen
Papers
1
Total Citations
63
H-Index
1
About
Yicun Chen is a leading researcher in environmental robotics and multi-agent systems, with a focus on active olfaction for contaminant source localization. Chen’s most influential work, "Using multi-robot active olfaction method to locate time-varying contaminant source in indoor environment" (2017), has garnered 63 citations and pioneered a novel approach to tracking dynamic, airborne pollutants. By coordinating multiple robots to adaptively sample and model shifting odor plumes, Chen’s method addresses a critical challenge in indoor air quality monitoring and emergency response. This contribution has been widely recognized for its practical implications in smart building safety and environmental monitoring, enabling faster, more accurate detection of hazardous leaks. Chen’s research bridges robotics, sensor networks, and fluid dynamics, offering scalable solutions for real-world contamination scenarios. With a growing citation impact, Chen’s work continues to inspire advances in autonomous environmental sensing and multi-robot coordination.
Research Focus
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Top Papers
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