Papers
8
Total Citations
106
H-Index
6
About
Yantao Yu is a leading researcher at the frontier of intelligent construction, specializing in human-robot collaboration, computer vision, and worker safety. His work addresses critical challenges in automating and safeguarding construction sites. Yu’s most cited paper (2024, 35 citations) introduces an unsupervised low-light image enhancement method that dramatically improves V-SLAM localization on uneven construction sites, a breakthrough for autonomous navigation in challenging environments. He also pioneered the fusion of computer vision with smart insole technologies (2018, 26 citations) to estimate construction workers’ physical workload, enabling real-time ergonomic risk assessment. Yu has advanced human-robot collaboration by developing multi-granular learning frameworks that allow robots to infer worker intentions from incomplete visual data (2023, 18 citations) and by optimizing heterogeneous multi-robot teams for long-horizon tasks (2024, 8 citations). His vigilance recognition system using EEG and transfer learning (2024, 9 citations) further enhances safety monitoring. Yu’s comprehensive review of human-centric human-robot collaboration (2025, 6 citations) synthesizes a decade of progress, barriers, and future directions. His innovative, training-free approach to few-shot tool and material detection using pre-trained vision-language models (2025, 2 citations) demonstrates his commitment to practical, scalable solutions. With over 100 total citations, Yu is shaping the future of safe, efficient, and intelligent construction sites.
Research Focus
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Top Papers
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