Mingrui Jiang
Papers
5
Total Citations
95
H-Index
5
About
Mingrui Jiang is a researcher specializing in robotic olfaction, indoor air quality monitoring, and autonomous multi-robot systems, with a particular focus on solving the challenging problem of locating pollutant and particulate matter sources in dynamic indoor environments. His work sits at the intersection of swarm robotics, computational optimization, and environmental sensing, addressing a problem with significant real-world implications for building safety and occupant health. Jiang's most influential contributions involve developing and experimentally validating multi-robot olfaction algorithms capable of tracing time-varying indoor pollution sources without relying on airflow information — a notably difficult constraint that previous methods struggled to overcome. His 2019 papers, which together have accumulated nearly 60 citations, introduced whale optimization algorithm-based approaches that demonstrated strong localization performance under realistic, unpredictable indoor airflow conditions. His 2021 comparative study further refined these methods, providing the research community with clear empirical benchmarks. More recently, Jiang has extended his research into three-dimensional source localization in naturally ventilated spaces, tackling the added complexity of unknown source heights. Collectively accumulating over 95 citations, his body of work has meaningfully advanced the practical deployment of autonomous robotic systems for indoor environmental monitoring and pollution control.
Research Focus
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Top Papers
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