Alastair Poole
Papers
6
Total Citations
41
H-Index
4
About
Alastair Poole is a researcher specialising in autonomous robotic systems for Non-Destructive Testing (NDT), with a particular focus on eliminating traditional barriers to flexible, intelligent inspection in high-value manufacturing and aerospace applications. His work addresses a critical challenge in the field: enabling robots to perform reliable ultrasonic and geometric inspections without dependence on costly digital twins or pre-programmed environments. Poole's most influential contribution, the LPAS framework — Locate, Plan, Approach, Scan — introduced a vision-based pipeline allowing robots to autonomously plan and execute NDT inspections using low-cost RGB-D sensors, garnering 12 citations since 2022. Complementing this, his novel complete-surface-finding algorithm (10 citations) enables robots to map unknown part geometries online, a breakthrough for remanufacturing contexts where part conditions vary unpredictably. Further work on simultaneous geometric and volumetric inspection (9 citations) demonstrates his ambition to unify multiple inspection modalities within a single robotic deployment. More recently, Poole has explored force-torque sensor fusion to mitigate camera errors in phased array ultrasonic testing and investigated mobile collaborative robots for flexible manufacturing inspection. His growing body of work positions him as an emerging voice in the push toward fully autonomous, adaptable robotic inspection systems.
Research Focus
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Top Papers
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