Papers

21

Total Citations

397

H-Index

10

About

Ji-Gong Li is a robotics researcher specializing in mobile robot olfaction, with a particular focus on odor source localization, plume tracing, and chemical source searching in complex real-world environments. His work sits at the intersection of autonomous robotics, computational intelligence, and environmental sensing, addressing the challenging problem of equipping mobile robots with the ability to detect, track, and pinpoint chemical or odor sources in dynamic airflow conditions—both indoors and outdoors. Li's most influential contribution is his 2011 paper on particle filter-based odor source localization in outdoor airflow environments, which has garnered over 200 citations and established him as a leading voice in the field. He has advanced multi-robot coordination strategies through his Probability-PSO algorithms and developed innovative path planning methods, including the estimation-based route planning (ERP) framework validated through real-world field experiments. His biologically inspired "Surge-S" algorithm and work with Dempster-Shafer theory for multi-source mapping further demonstrate the breadth and creativity of his approach. Collectively, Li's research has shaped foundational methodologies for robotic chemical sensing, with applications ranging from environmental monitoring to search-and-rescue operations, making his body of work essential reading for researchers exploring autonomous sensory robotics.

Research Focus

Key Achievements

10
H-Index
21
Papers
397
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Odor source localization using a mobile robot in outdoor airflow environments with a particle filter algorithm
203 citations · 2011
📈 Most Prolific Year: 2009 (4 Papers)
🤝 Key Collaborators: 29
🏛 Institutions: Tianjin University, Tianjin University of Technology and Education, Lanzhou University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago