Xiaoling Wang
Papers
3
Total Citations
28
H-Index
3
About
Xiaoling Wang is a leading researcher at the intersection of autonomous robotics, intelligent construction, and smart healthcare. Her work focuses on enabling safe, efficient human–robot collaboration in challenging environments, particularly for autonomous earthmoving machinery used in construction. Wang’s major contributions include developing dynamic gesture recognition systems that allow operators to intuitively interact with heavy machinery, and creating the improved RefineDNet algorithm, which enhances environmental perception under adverse conditions like haze and fugitive dust—critical for real-world deployment. Her most-cited papers each hold 11 citations, reflecting growing interest in her practical solutions. In a notable shift toward societal impact, Wang also co-authored a comprehensive survey on smart elderly healthcare services within Industry 5.0, analyzing key enabling technologies and future trends tailored to China’s rapidly aging population. This work bridges her expertise in automation with pressing demographic challenges. With a clear trajectory from construction robotics to healthcare innovation, Wang’s research demonstrates a commitment to applying advanced AI and robotics to solve real-world problems, earning her recognition as a versatile and forward-thinking scholar in both industrial and human-centric domains.
Research Focus
Key Achievements
Top Papers
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