Daniel Lu
Papers
1
Total Citations
4
H-Index
1
About
Daniel Lu’s research lies at the intersection of robotics, building science, and energy efficiency, with a focus on developing automated systems for assessing and improving the performance of building envelopes. His most cited work, “Conceptual Design of a Robotic Building Envelope Assessment System for Energy Efficiency” (2021), proposes an innovative framework that integrates robotic sensing and data analytics to detect thermal anomalies, air leakage, and insulation defects in building facades. This system aims to replace manual, labor-intensive inspections with faster, more accurate, and scalable robotic assessments, directly contributing to smarter building maintenance and reduced energy waste. Although early in his career, Lu’s work has already garnered attention within the construction robotics community, with his flagship paper accumulating 4 citations and being presented at the prestigious International Symposium on Automation and Robotics in Construction (ISARC). His contributions are particularly relevant as the built environment seeks to meet net-zero energy targets. By bridging robotics and sustainable design, Daniel Lu is helping to pave the way for autonomous, data-driven building diagnostics—a critical step toward more resilient and energy-efficient infrastructure.
Research Focus
Key Achievements
Top Papers
- 1