Papers
12
Total Citations
477
H-Index
9
About
Srijeet Halder is a pioneering researcher at the intersection of robotics, automation, and construction technology, with a primary focus on deploying quadruped robots for inspection and monitoring of built environments. His work systematically explores how legged robots can overcome the inefficiencies, inconsistencies, and hazards inherent in manual construction inspection, transforming how industry professionals monitor buildings, bridges, roads, and infrastructure. Halder's most influential contribution, a 2023 systematic review on robots in built environment inspection (202 citations), established a comprehensive foundation for the field, while his parallel work on quadruped robots in construction contexts (73 citations) deepened understanding of human-robot teaming dynamics. His research integrates cutting-edge technologies — including augmented reality, Building Information Modeling (BIM), and autonomous navigation — to enable real-time, remote, and immersive inspection workflows that address persistent limitations of conventional approaches. Across his body of work, Halder has consistently advanced both theoretical frameworks and practical methodologies, including effectiveness evaluation indicators and accuracy estimation for autonomous robot navigation. With a cumulative citation count exceeding 470, his scholarship has meaningfully shaped academic and industry conversations around construction automation, positioning him as a leading voice in the emerging field of intelligent, robot-assisted infrastructure management.
Research Focus
Key Achievements
Top Papers
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