Papers
2
Total Citations
19
H-Index
2
About
Shun Wang is a researcher focused on advancing robotic automation and intelligent measurement systems for the construction industry, a sector facing critical labor shortages. His work centers on developing cost-effective, adaptive robotic solutions for indoor construction tasks. Wang’s major contributions include the design of a robot floor-tiling control method that integrates finite-state machines with visual measurement, enabling precise operation even within limited fields of view. This work, cited 11 times, directly addresses the rising labor costs in construction by automating a traditionally manual, skilled trade. He has also pioneered a low-cost, self-adaptive terrestrial laser scanning system for indoor measurement, which employs an adaptive scanning strategy and structural characteristics point cloud segmentation to overcome the prohibitive cost and complexity of existing high-accuracy scanners. This 2022 paper, with 8 citations, demonstrates his commitment to making advanced measurement technology accessible for widespread industry adoption. Wang’s research is notable for its practical, problem-driven approach, targeting real-world bottlenecks in construction automation and measurement to enhance efficiency and reduce reliance on manual labor.
Research Focus
Key Achievements
Top Papers
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