Ben Scott
Papers
3
Total Citations
10
H-Index
2
About
Ben Scott is a researcher at the Natural History Museum (NHM) in London, where his work sits at the intersection of robotics, computer vision, and natural history collection digitisation. His research addresses one of the most pressing challenges facing natural history institutions worldwide: the labour-intensive task of digitising vast biological collections. With the NHM housing over 80 million specimens — the majority still undigitised — Scott's contributions focus on developing scalable, automated solutions to accelerate this process. His most-cited work explores robot-in-the-loop prototyping for robotic digitisation, demonstrating how autonomous systems can reduce the burden of manual specimen handling. Complementing this, his ALICE software project applies machine learning and computer vision to automatically extract label data from pinned insect specimens, a collection representing nearly 37% of the NHM's holdings. His 2025 deep learning pipeline further advances collaborative robotics for digitisation at scale. Though his publication record is still growing, Scott's research has already attracted meaningful attention from the collections and biodiversity informatics communities, positioning him as an emerging voice in automated natural history digitisation.
Research Focus
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Top Papers
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