Pengfei Shan
Papers
3
Total Citations
14
H-Index
3
About
Pengfei Shan is a robotics researcher whose work focuses on the automation of interior finishing processes—a domain where high labor intensity and hazardous materials pose significant risks to human workers. His primary research areas include robotic path planning, 3D sensing, and autonomous navigation for construction robots. Shan’s major contributions center on developing algorithms and sensor systems that enable robots to autonomously perform wall surface disposal and polishing tasks. His most-cited paper, "A robotized interior work process planning algorithm based on surface minimum coverage set" (5 citations), introduces an optimization method for efficient robotic coverage of wall surfaces. He also designed a structured light-based measuring system and a laser triangulation 3D scanner, both tailored for autonomous interior finishing robots. These systems solve critical localization and perception challenges in unstructured indoor environments. Though his citation counts are modest, Shan’s work represents an important step toward reducing labor costs and protecting worker health in the construction industry. His research bridges the gap between theoretical robotics and practical, health-critical applications, making him a notable contributor to the emerging field of construction automation.
Research Focus
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Top Papers
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