Papers

6

Total Citations

115

H-Index

5

About

Da Hu is a leading researcher at the intersection of robotics, artificial intelligence, and the built environment, with a primary focus on intelligent disinfection and human-robot collaboration. Hu’s most impactful work addresses the urgent need for adaptive robotic disinfection in high-risk settings like hospitals and infrastructure facilities. Their seminal 2020 paper, “Segmenting areas of potential contamination for adaptive robotic disinfection in built environments,” has garnered 53 citations, establishing a foundational method for robots to autonomously identify and target contamination zones. Hu further advanced this field by developing a comprehensive object detection dataset for hospital facilities (24 citations) and pioneering techniques for recognizing object surface materials to adapt disinfection strategies (22 citations). Beyond disinfection, Hu has contributed to safe human-robot coexistence on construction sites through prediction-enabled proactive planning, and explored AI-based robotics in industrialized building manufacturing. Their work in multi-classifier information fusion for human activity recognition in healthcare facilities demonstrates a commitment to creating responsive, intelligent environments. With over 100 total citations, Da Hu’s research is shaping the future of autonomous systems in critical infrastructure, making built environments safer and more efficient.

Research Focus

Key Achievements

5
H-Index
6
Papers
115
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Segmenting areas of potential contamination for adaptive robotic disinfection in built environments
53 citations · 2020
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: University of Tennessee at Knoxville, Kennesaw State University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago