Caitlyn Clabaugh
Papers
16
Total Citations
488
H-Index
9
About
Caitlyn Clabaugh is a pioneering researcher at the intersection of socially assistive robotics (SAR), human-robot interaction, and personalized machine learning, with a particular focus on developing robotic interventions for children with autism spectrum disorders (ASD). Her work has fundamentally advanced the field by pushing SAR research beyond controlled laboratory settings into real-world, longitudinal deployments — a methodological shift reflected in her highly cited studies on long-term, in-home robotic interventions for children with ASD, which have garnered over 133 and 94 citations respectively. Clabaugh's most significant contributions include developing adaptive personalization frameworks that allow robots to autonomously recognize and respond to individual users over extended periods, addressing a critical challenge in making SAR therapeutically viable. Her 2018 work on personalizing human-machine interaction through multimodal and multitask machine learning broadened these methods beyond robotics to diverse applied contexts. She has also tackled foundational questions about robot autonomy, most notably in "Escaping Oz," which examined how SAR systems can reduce reliance on human operators. From early explorations of robotic math tutors for preschoolers to complex in-home ASD interventions, Clabaugh's cumulative body of work — exceeding 460 total citations — represents a sustained and impactful effort to make assistive robotics more personalized, accessible, and practically deployable.
Research Focus
Key Achievements
Top Papers
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- 4Escaping Oz: Autonomy in Socially Assistive Robotics46 citations · 2019
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- 9Socially Assistive Robotics for Personalized Education for Children10 citations · 2014
- 10Interactive Personalization for Socially Assistive Robots7 citations · 2017