Karla Conn
Papers
8
Total Citations
382
H-Index
7
About
Karla Conn is a pioneering researcher whose work sits at the compelling intersection of human-robot interaction, affective computing, and assistive technologies for individuals with autism spectrum disorder (ASD). She is perhaps best known for her groundbreaking investigations into robot-assisted intervention for children with ASD, developing frameworks that enable robots to detect and dynamically respond to children's affective cues in real time — work that earned her most-cited paper over 200 citations since its 2008 publication. By integrating psychophysiological analysis with adaptive robotic behavior, Conn advanced the vision of truly personalized, affect-sensitive intervention technologies at a time when the field was still in its infancy. Beyond autism intervention, Conn has made meaningful contributions to broader human-robot interaction challenges, including the development of vision-based smart wheelchair systems that exemplify her commitment to practical assistive device design. Her research in supervised reinforcement learning further demonstrates her range, exploring how mobile robots can reliably navigate and adapt to real-world environments. Across her body of work, Conn has accumulated over 380 citations, reflecting her sustained influence on researchers and clinicians working to harness robotics and AI for vulnerable populations. Her career stands as a testament to technology's potential to meaningfully improve quality of life.
Research Focus
Key Achievements
Top Papers
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- 2Human robot interaction: application to smart wheelchairs69 citations · 2003
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