Joby Boxall
Papers
4
Total Citations
70
H-Index
4
About
Joby Boxall is a leading researcher at the intersection of robotics, civil engineering, and water infrastructure management. His work focuses on solving one of the most pressing challenges in urban water systems: the autonomous inspection and localization of damage within buried water distribution pipes. Boxall’s major contributions lie in developing novel robotic localization and mapping techniques for these feature-sparse, GPS-denied environments. He pioneered the use of acoustic signals and hydrophone-induced vibrations for robot mapping and localization, as demonstrated in his highly cited 2017 paper on robot mapping using dynamic time warping (20 citations) and his 2020 work on pose graph optimization with acoustic signals (19 citations). He has also advanced the field by applying biologically-inspired swarm robotics for autonomous pipe inspection (16 citations) and introducing PipeSLAM, a Rao-Blackwellised particle filter approach for simultaneous localization and mapping in water pipes (15 citations). With a cumulative citation count exceeding 70 for these key works alone, Boxall’s research is foundational for enabling cost-effective, autonomous inspection of critical buried water infrastructure, directly supporting improved asset management and targeted repairs for this highly valuable resource.
Research Focus
Key Achievements
Top Papers
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