Paul Amayo

University of Oxford, University of Cape Town

Papers

Total Citations

H-Index

About

Paul Amayo is a roboticist whose research lies at the intersection of perception, reconstruction, and semantic understanding for autonomous systems. His work spans two key areas: multi-sensor fusion for industrial environments and hierarchical 3D scene representation for agriculture. In his highly cited 2019 paper, Amayo pioneered a LIDAR-vision fusion technique to reconstruct the interior of the Joint European Torus (JET) nuclear fusion reactor, demonstrating how combining geometric and visual data can enable robust mapping in challenging, feature-poor industrial settings. More recently, with his 2024 work on Osiris, he has advanced the emerging field of 3D scene graphs, building hierarchical representations that organize agricultural environments from low-level geometry up to crop- and field-scale reasoning. This work promises to make robotic perception more interpretable and scalable for precision agriculture. While his citation counts are still growing—with 9 and 2 citations respectively—these contributions represent foundational steps in applying state-of-the-art perception to real-world, high-stakes domains. Amayo’s research is notable for bridging the gap between theoretical scene understanding and practical deployment in nuclear fusion and farming.