Dean Connor

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About

Dean Connor is a leading researcher in robotics and nuclear environmental sensing, whose work focuses on the autonomous detection, mapping, and localisation of radioactive hazards. His major contributions lie in integrating robotic manipulators with advanced sensor suites to solve critical challenges in the nuclear industry. In his highly cited 2020 paper, "Radiation Mapping and Laser Profiling Using a Robotic Manipulator" (13 citations), Connor pioneered a method for coincident radiation mapping and 3D laser profiling, enabling precise characterisation of contaminated surfaces. He further advanced the field with "Radioactive Source Localisation via Projective Linear Reconstruction" (2021, 10 citations), developing a novel algorithmic approach to pinpoint the location and activity of gamma-ray sources in complex, cluttered environments where traditional methods fail. Connor’s work is distinguished by its practical impact, offering safer, more efficient alternatives to manual inspection in hazardous nuclear sites. His research not only enhances the accuracy of radiological surveys but also paves the way for fully autonomous decommissioning and waste management operations, marking him as a key innovator at the intersection of robotics and nuclear safety.