Ruben Paul Borg
Papers
2
Total Citations
36
H-Index
2
About
Ruben Paul Borg is a leading researcher at the intersection of structural engineering, robotics, and artificial intelligence, with a primary focus on automated infrastructure inspection and maintenance. His work addresses the critical challenge of deploying climbing robots for surface inspection of complex structures such as cable-stayed bridge towers. Borg’s most cited paper (2025, 21 citations) pioneers a complete-coverage path planning method that integrates Building Information Models (BIM) with robotic navigation, overcoming the bottleneck of manual control by enabling autonomous environment perception and efficient path generation. This contribution is foundational for transforming manual inspections into automated, reliable processes. In another highly influential study (2024, 15 citations), Borg developed an active-learning-integrated transformer model combined with an unmanned robotic platform for quantitative crack assessment in concrete structures. This work advances non-destructive evaluation by leveraging deep learning to improve detection accuracy and efficiency. Borg’s research has significant implications for infrastructure safety, reducing human risk and operational costs. His achievements demonstrate a unique synthesis of civil engineering and cutting-edge AI, positioning him as a key innovator in smart infrastructure and robotic inspection systems.
Research Focus
Key Achievements
Top Papers
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