Xinran Yu

New York University

Papers

1

Total Citations

5

H-Index

1

About

Xinran Yu is a robotics researcher focused on automating building diagnostics and infrastructure maintenance. Their most notable contribution is the development of TEA-bot (Thermography Enabled Autonomous Robot), a novel system designed to detect thermal leaks in Heating, Ventilation, and Air Conditioning (HVAC) systems. This work directly addresses the costly and labor-intensive challenge of manual thermal inspections, offering a scalable alternative to installing permanent sensor networks in existing buildings. By integrating autonomous navigation with thermographic sensing, Yu’s research bridges the gap between robotics and building energy efficiency. While their work is early-stage, with TEA-bot accumulating 5 citations since 2022, the practical implications are significant—potentially reducing energy waste and maintenance costs in commercial and residential structures. Yu’s approach exemplifies how robotics can solve real-world infrastructure problems without requiring extensive retrofitting, making smart building technology more accessible. Their research sits at the intersection of field robotics, computer vision, and sustainable engineering, with clear potential for future impact in smart city applications and automated facility management.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
TEA-bot
5 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: New York University

Top Papers

  1. 1
    TEA-bot
    5 citations · 2022

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago