Papers

5

Total Citations

22

H-Index

3

About

Dr. Zirui Li is a pioneering researcher at the intersection of construction robotics, human-robot collaboration, and cognitive safety systems. His work fundamentally reimagines how humans and machines interact in complex, high-stakes environments like construction sites. Dr. Li’s most impactful contribution is the development of a vigilance recognition system for construction workers using EEG and transfer learning (2024, 9 citations), a breakthrough that enables real-time monitoring of worker alertness to prevent accidents. He has also provided the field with a comprehensive roadmap through his critical review of human-centric human-robot collaboration in construction from 2014 to 2024 (2025, 6 citations), identifying key advances and persistent barriers. Dr. Li’s technical expertise extends to advanced robotics, where he has developed orientation-aware planning algorithms for omni-directional mobile robots (2021, 3 citations) to enable parallel task execution, and introduced a novel data-driven Hamilton-Jacobi-Isaacs reachability approach for online risk assessment in human-robot interaction (2023, 2 citations). His comparative study of LiDAR-only 3D SLAM systems (2022, 2 citations) further demonstrates his commitment to enabling autonomous navigation in unstructured environments. Through this diverse body of work, Dr. Li is shaping a future where construction is safer, more efficient, and truly collaborative.

Research Focus

Key Achievements

3
H-Index
5
Papers
22
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Vigilance recognition for construction workers using EEG and transfer learning
9 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: Southeast University, Beijing Institute of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago