P. Thomas Fletcher

University of North Carolina at Chapel Hill, University of Nebraska–Lincoln

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About

P. Thomas Fletcher is a researcher whose work bridges statistical shape analysis, medical imaging, and human-robot interaction. His early and most influential contributions lie in the statistical analysis of anatomical variability, particularly through his seminal 2004 paper, "Statistical variability in nonlinear spaces: application to shape analysis and dt-mri," which has garnered 44 citations. This work introduced powerful methods for quantifying geometric changes in anatomy due to growth or disease, providing a rigorous mathematical framework for analyzing diffusion tensor MRI and shape data—a foundational contribution to computational anatomy. More recently, Fletcher has explored the emerging field of UAV gesture communication. His 2021 study on "Investigation of Unmanned Aerial Vehicle Gesture Perceptibility and Impact of Viewpoint Variance" (6 citations) and his 2022 work "Predicting Visual Differentiability for Unmanned Aerial Vehicle Gestures" (5 citations) investigate how drones can convey meaning through flight paths, akin to human gestures. These studies address critical challenges in human-robot interaction, such as viewpoint dependency and gesture distinctiveness, advancing the design of intuitive visual communication systems for autonomous systems. Fletcher’s work thus spans from foundational statistical methods in medical imaging to innovative applications in robotics, demonstrating a versatile and impactful research trajectory.