Research Intern — Automation in Construction (Mubadala & NYUAD)

Jan 2024 – Jul 2024

During my research internship at Mubadala & NYUAD, I contributed to the development of an autonomous robotic system for reality capture and data acquisition on dynamic construction sites. The robotic system integrated advanced SLAM algorithms, autonomous exploration planners, and robust data management pipelines, all validated in real-world construction environments. My work included SLAM integration (LIO-SAM), LiDAR sensor evaluation, SQL-based robotic data handling, and field deployment of autonomous scanning missions. This work was presented at CCC 2025.

Contributions

• Developed LiDAR-based autonomous navigation using ROS, increasing site inspection efficiency by 35%.
• Enhanced sensor fusion algorithms for precise mapping.
• Co-authored a conference paper (CCC 2025 submission).

Publication

Robotic Systems for Autonomous Data Acquisition in Construction: A Case Study

Creative Construction Conference (CCC 2025)

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