Papers
3
Total Citations
17
H-Index
2
About
Xiao Pan is an emerging researcher at the intersection of robotics, computer vision, and smart construction technologies. His work focuses on developing autonomous systems that leverage artificial intelligence to address real-world challenges in disaster response and construction automation. Pan's most cited contribution, "Autonomous post-disaster indoor navigation and survivor detection using low-cost micro aerial vehicles" (2024, 10 citations), demonstrates his ability to engineer practical, cost-effective solutions for high-stakes scenarios, introducing a novel pipeline for survivor geotagging using MAVs in hazardous indoor environments. Complementing this, his research on computer vision and point cloud-based monitoring for robotized mobile cranes (2024, 5 citations) highlights his commitment to modernizing construction workflows through intelligent sensing and machine learning integration. His most recent work (2025, 2 citations) pushes further into autonomous modular construction, combining deep learning and reinforcement learning to streamline robotic assembly processes. Collectively, Pan's research portfolio signals a coherent and ambitious research vision: harnessing cutting-edge AI and robotics to make construction smarter and emergency response more effective, positioning him as a promising voice in intelligent infrastructure and autonomous systems research.
Research Focus
Key Achievements
Top Papers
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