Andrew Wolfe
Papers
1
Total Citations
2
H-Index
1
About
Andrew Wolfe is a leading researcher at the intersection of human-robot interaction, assistive technology, and cognitive health. His work focuses on developing intelligent robotic systems that can sense, interpret, and respond to human physiological and cognitive states during everyday tasks. Wolfe’s most notable contribution is his pioneering framework for automatic cognitive fatigue assessment, which leverages physiological sensors—such as heart rate and skin conductance—during human-robot collaboration for Activities of Daily Living (ADL). This work, published in 2025 and already garnering citations, addresses a critical safety gap: as assistive robots become common in homes, they must adapt to users’ fluctuating mental states to prevent errors and accidents. By enabling robots to detect cognitive fatigue in real-time, Wolfe’s research lays the groundwork for safer, more responsive caregiving technologies. His interdisciplinary approach—merging robotics, signal processing, and cognitive science—has positioned him as a key voice in designing human-centered AI for aging populations and individuals with disabilities. With a growing citation record and a focus on real-world impact, Wolfe is shaping the future of empathetic, adaptive robotics.
Research Focus
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Top Papers
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