Denglong Ma
Papers
4
Total Citations
59
H-Index
2
About
Denglong Ma is a leading researcher in environmental robotics and intelligent gas sensing, specializing in bioinspired algorithms for autonomous emission source localization. His work focuses on developing mobile robot systems—including ground vehicles and unmanned aerial vehicles—that can rapidly trace hazardous chemical leaks in complex, large-scale environments. Ma’s most-cited paper, “Entrotaxis-Jump as a hybrid search algorithm for seeking an unknown emission source in a large-scale area with road network constraint” (2020, 39 citations), introduced a novel hybrid search strategy that combines entropy-based exploration with jump moves, significantly improving efficiency under real-world constraints like road networks. His 2021 study on bionic algorithm mobile sensors with artificial olfactory systems (16 citations) demonstrated a practical robot system capable of identifying both leak locations and gas compositions outdoors, addressing critical safety needs in chemical and hydrogen storage facilities. Ma’s work bridges theoretical algorithm design and applied robotics, with recent efforts optimizing UAV sampling structures for faster, more accurate source tracing. His contributions are vital for emergency response, industrial safety, and environmental monitoring, earning him recognition as a key innovator in bioinspired mobile sensing and autonomous gas leak detection.
Research Focus
Key Achievements
Top Papers
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