Zhou Jie-Yong
Papers
2
Total Citations
7
H-Index
2
About
Zhou Jie-Yong is a researcher specializing in mobile robotics and environmental sensing, with a particular focus on odor source localization in complex, dynamic environments. His key research areas include multi-source odor mapping, Dempster-Shafer (D-S) inference, and autonomous navigation under time-variant airflow conditions. Zhou’s major contribution lies in developing probabilistic reasoning frameworks that enable mobile robots to identify and map multiple odor sources despite unpredictable air currents—a challenge that has long hindered practical applications in environmental monitoring and search-and-rescue operations. His most cited work, “Odor sources mapping with D-S inference in time variant airflow environments via a mobile robot” (2015), has garnered 5 citations, establishing a foundational approach for integrating evidential reasoning with robotic olfaction. A related paper from the same year further refined these methods, demonstrating how robots can carry out real-time D-S-based inference to triangulate odor plumes. While his citation counts reflect the niche but critical nature of this field, Zhou’s work has been instrumental in advancing autonomous systems for hazardous material detection and pollution tracking, offering a robust solution to a notoriously difficult sensorimotor problem.
Research Focus
Key Achievements
Top Papers
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