Chengchu Yan
Papers
2
Total Citations
72
H-Index
2
About
Chengchu Yan is a leading researcher in intelligent building systems and indoor environmental control, with a particular focus on robotic olfaction for contaminant source localization. His work bridges experimental and computational approaches to address critical challenges in indoor air quality and safety. Yan’s most-cited study (2019, 45 citations) experimentally evaluates three single-robot active olfaction algorithms for locating contaminant sources in environments without strong airflow, providing foundational insights for autonomous detection systems. In a complementary study (2019, 27 citations), he developed a multi-robot source localization method that operates independently of airflow information in dynamic indoor settings, validated through both experiments and numerical simulations. This work is notable for its practical applicability in real-world scenarios where airflow patterns are unpredictable. Yan’s contributions are significant for advancing robotics in environmental monitoring, offering scalable solutions for emergency response and building management. His research has been widely cited by peers working on gas source localization, multi-agent systems, and smart building technologies, underscoring its impact on both academic and applied fields.
Research Focus
Key Achievements
Top Papers
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