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About

Nzebo Richard Anvo is a pioneering robotics researcher whose work sits at the intersection of autonomous systems, non-destructive testing (NDT), and infrastructure maintenance. His primary research areas include deep learning for environmental robotics, soft robotic manipulation, and the development of inspection robots for critical civil and energy infrastructure. Anvo’s most impactful contribution is his 2022 paper on autonomous litter detection and sorting, which has garnered 17 citations and proposes a novel system combining deep learning with soft robotic grippers to automate roadside cleaning—a task that is laborious, hazardous, and expensive. He also leads the development of specialized NDT robots, including a climbing robot for wind blade radiography and a subsea flexible riser inspection robot, each cited 8–9 times, demonstrating his ability to solve real-world industrial challenges. In 2024, Anvo introduced the CAMHighways dataset, a comprehensive mobile mapping resource covering over 40 km of UK highways, which has already attracted 8 citations and supports digital twin-enabled autonomous maintenance. His work on highway digital twins and automated maintenance plants further underscores his vision for resilient, self-maintaining infrastructure. With a growing citation record and a focus on translating research into practical, deployable systems, Anvo is a rising leader in field robotics and infrastructure automation.