Papers
4
Total Citations
54
H-Index
4
About
Shiwei Guan is a leading researcher in intelligent construction robotics, with a primary focus on autonomous earthmoving machinery and human–robot interaction for complex civil engineering environments. His work addresses critical challenges in the automation of heavy construction equipment, particularly for earth-rock dam projects. Guan’s most cited paper (25 citations) introduces a dynamic hyperparameter-tuning approach for path tracking control in robotic rollers, significantly improving precision under variable site conditions. He has also advanced environmental perception systems, developing the Improved RefineDNet algorithm to maintain accurate object detection despite haze and fugitive dust (11 citations). In human–robot collaboration, Guan pioneered dynamic gesture recognition for autonomous machinery control (11 citations), enabling safer, more intuitive operator interfaces. His recent work on multi-object tracking fuses millimeter-wave radar with camera sensors using an improved BOTSORT algorithm (7 citations), enhancing situational awareness for robotic rollers. Collectively, Guan’s research bridges the gap between theoretical control systems and practical deployment in harsh construction environments, with his citation record reflecting growing interest in automation for heavy civil engineering. His contributions are vital for the future of safe, efficient, and autonomous construction sites.
Research Focus
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