Mirko Kokot
Papers
1
Total Citations
5
H-Index
1
About
Mirko Kokot is a researcher at the intersection of robotics, child development, and clinical diagnostics, with a primary focus on leveraging autonomous systems to improve early autism spectrum disorder (ASD) detection. His most-cited work, "Classification of Child Vocal Behavior for a Robot-Assisted Autism Diagnostic Protocol" (2018, 5 citations), pioneers the use of robotic technologies to analyze vocalizations during diagnostic interactions—a critical step toward making ASD assessments faster, more objective, and more scalable. By integrating machine learning classification with human-robot interaction, Kokot addresses a pressing need: autism now affects an increasing fraction of children, yet standard diagnostic protocols remain time-intensive and variable. His contributions demonstrate how robots can serve as both social partners and data-collection tools, capturing subtle behavioral cues that may escape human observers. Though early in his career, Kokot’s work has already been cited in studies on robot-mediated therapy and child–robot interaction, signaling its foundational role. His research offers a compelling vision for technology-assisted healthcare, where precision and consistency can reduce the social and economic burdens of delayed diagnosis.
Research Focus
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Top Papers
- 1