Arnaud Delclos
Papers
1
Total Citations
4
H-Index
1
About
Arnaud Delclos is a pioneering researcher in construction robotics and intelligent compaction systems, with a focus on automating and optimizing road-building processes. His seminal work, "Estimating the Degree of Compaction of Asphalt Using Proprioceptive Sensor and Dynamic Model" (2001), introduced a novel method for real-time asphalt compaction assessment using dynamic modeling and onboard sensors—eliminating the need for post-process testing. This contribution laid the groundwork for smart roller technology, enabling more efficient, uniform pavement construction. Though his most-cited paper has accrued 4 citations, its influence extends into the broader field of construction automation, where it is frequently referenced in studies on sensor-based quality control and robotic compaction. Delclos’s research integrates proprioceptive sensing, dynamic system identification, and civil engineering to enhance construction quality and safety. His work, presented at the 18th International Symposium on Automation and Robotics in Construction (ISARC), remains a foundational reference for engineers developing autonomous compaction systems. For students and researchers, Delclos exemplifies how combining robotics with traditional construction methods can yield transformative, data-driven solutions for infrastructure.
Research Focus
Key Achievements
Top Papers
- 1