Daniel De Becker
Papers
1
Total Citations
3
H-Index
1
About
Daniel De Becker is a researcher focused on advancing automated repair technologies for critical infrastructure, with a particular emphasis on railway maintenance systems. His work addresses the significant economic burden of surface defects—costing the UK approximately £4 million annually—by developing innovative deposition technologies that enhance repair efficiency and traceability. His most cited paper, "Towards the development of a deposition technology for an automated rail repair system" (2020, 3 citations), explores the use of a laser line scanner to generate precise robotic deposition paths, a key step toward fully automating rail repair processes. This contribution underscores his commitment to integrating sensing and robotics to solve real-world industrial challenges. While his citation count is modest, his research lays foundational groundwork for reducing costs and improving reliability in rail infrastructure. De Becker’s work is particularly relevant for students and researchers interested in the intersection of robotics, sensing, and automated manufacturing for infrastructure maintenance.
Research Focus
Key Achievements
Top Papers
- 1