Gavin DeAngelis

Rutgers, The State University of New Jersey

Papers

Total Citations

H-Index

About

Gavin DeAngelis is a robotics engineer whose work focuses on autonomous systems for infrastructure inspection and maintenance. His primary research area centers on developing intelligent robotic platforms capable of navigating complex, hazardous environments—with a particular emphasis on pipeline integrity assessment. DeAngelis’s most notable contribution, "Autonomous Robotic System for Pipeline Integrity Inspection" (2017), presents a novel approach to deploying self-guided robots that can detect structural flaws and corrosion in pipelines without human intervention. This work, which has garnered 2 citations, lays foundational groundwork for reducing inspection costs and improving safety in the oil, gas, and water utility sectors. While his citation count is modest, the research addresses a critical industrial need for reliable, automated monitoring solutions. DeAngelis’s contributions are particularly relevant for students and researchers interested in field robotics, sensor integration, and real-world deployment challenges. His work exemplifies how robotic autonomy can transform traditional inspection practices, offering a glimpse into the future of infrastructure management where machines take on dangerous, repetitive tasks with precision and efficiency.