Katelyn Rockenbach
Papers
1
Total Citations
23
H-Index
1
About
Katelyn Rockenbach’s research lies at the intersection of human-robot interaction, developmental robotics, and clinical assessment, with a particular focus on understanding and quantifying motor behavior in children with Autism Spectrum Disorders (ASD). Her most cited work, “Human-robot interaction as a tool to evaluate and quantify motor imitation behavior in children with Autism Spectrum Disorders” (2013, 23 citations), introduced a pioneering method that uses a robot to objectively measure imitation deficits—moving beyond subjective clinical observation and categorical data to capture continuous kinematic metrics. This contribution not only advanced the technical toolkit for studying social motor behavior but also opened new avenues for robot-assisted diagnostics and therapy. Rockenbach’s work is notable for bridging engineering and clinical psychology, demonstrating how robotic platforms can serve as precise, repeatable instruments for behavioral assessment. Her research has been cited in studies spanning assistive robotics, autism intervention, and motor learning, reflecting its interdisciplinary impact. By translating complex social behaviors into quantifiable data, Rockenbach has helped lay the groundwork for more objective, scalable approaches to evaluating and supporting children with ASD.
Research Focus
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Top Papers
- 1