Robert Mayne
Papers
1
Total Citations
9
H-Index
1
About
Robert Mayne is a leading researcher at the intersection of structural engineering and human-robot interaction, with a primary focus on understanding expert decision-making during infrastructure inspections. His most notable contribution is the pioneering use of eye-tracking technology to analyze gaze patterns during facade inspections, a method that decodes how experienced inspectors visually assess structural integrity. By mapping where and why experts look at specific features, Mayne’s work provides a blueprint for training autonomous robots to perform more situationally-aware and detailed inspections. His 2023 paper, "Analysis of Gaze Patterns During Facade Inspection to Understand Inspector Sense-Making Processes," has garnered 9 citations, signaling growing recognition in the field. This research bridges cognitive science and robotics, aiming to replicate human intuition in machines—a critical step toward safer, more reliable automated structural assessments. Mayne’s work is particularly impactful for students and researchers interested in non-destructive evaluation, human factors engineering, and the future of intelligent infrastructure maintenance.
Research Focus
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Top Papers
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