Papers
1
Total Citations
3
H-Index
1
About
Dr. Xiuzhi Deng is a pioneering researcher at the intersection of construction robotics, multimodal perception, and semantic mapping. Her work addresses the critical challenge of enabling heavy construction machinery—particularly tower cranes—to perceive and navigate complex, dynamic job sites in real time. Dr. Deng’s most cited paper, "Real-time multimodal fusion and semantic mapping for robotic tower crane perception" (2026), introduces a novel framework that overcomes the limitations of conventional SLAM methods, which assume smooth sensor motion and prioritize geometry over semantics. By fusing data from multiple sensors and embedding semantic understanding directly into the mapping process, her approach allows robotic cranes to interpret their surroundings with unprecedented accuracy and speed. This contribution is foundational for the next generation of autonomous construction equipment, directly impacting safety and efficiency on large-scale projects. With her work already garnering citations and shaping discourse in construction automation, Dr. Deng is establishing herself as a key innovator in bridging robotics and civil infrastructure.
Research Focus
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Top Papers
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