Haylie L. Miller

University of North Texas, University of North Texas Health Science Center, University of Michigan–Ann Arbor

Papers

Total Citations

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About

Haylie L. Miller is a researcher whose work sits at the intersection of human-robot interaction, motor control, and neurodiversity. Her key research areas include robotic head-eye coordination, human-like gaze estimation, and the motor differences in autism during interactive tasks. Miller’s major contributions involve developing potential controllers for humanoid robots to achieve more natural head-eye coordination, as demonstrated in her 2018 paper (6 citations). She also advanced the field with her work on the Philip K. Dick (PKD) android, implementing object tracking and gaze estimation to enhance human-robot communication (2016, 6 citations). Notably, her 2023 study on motor differences in autism during a human-robot imitative gesturing task (4 citations) bridges robotics and clinical research, offering insights into how autistic individuals interact with robots. While her citation counts are modest, Miller’s work is foundational for creating more intuitive and inclusive robotic systems. Her achievements highlight a commitment to making robots not only more human-like in their movements but also more responsive to diverse human behaviors, paving the way for applications in assistive technology and social robotics.