Papers
6
Total Citations
78
H-Index
3
About
Jinsong Zhu is a leading researcher in intelligent firefighting robotics, specializing in computer vision, autonomous perception, and decision-making systems for fire suppression. His work centers on developing advanced visual guidance and control technologies that enable firefighting robots to autonomously locate fires, predict jet trajectories, and extinguish flames with precision. Zhu’s major contributions include the creation of an improved Near-Field Computer Vision system for jet trajectory falling position prediction, a novel convolution-based lightweight network model guided by contextual features with dual attention, and a Variable Baseline Distance Stereo Vision system for sub-pixel fire localization. His highly cited paper, “Intelligent Fire Monitor for Fire Robot Based on Infrared Image Feedback Control” (43 citations), demonstrates his impact in integrating infrared feedback for real-time fire monitor control. Zhu has also pioneered visual predictive control methods that address time delay models of fire extinguishing jets, reducing oscillation and improving response times. His recent work on attention and scale U-Net models combined with genetic algorithms for extinguishment decision-making marks a significant step toward fully autonomous firefighting. With over 75 total citations, Zhu’s research is foundational for the next generation of intelligent, perception-driven firefighting robots.
Research Focus
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Top Papers
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