Klaus David
Papers
4
Total Citations
34
H-Index
3
About
Klaus David is a leading researcher at the intersection of human-robot interaction (HRI), responsible design, and affective computing. His work focuses on the critical challenge of designing anthropomorphic service robots that can interact with humans in a safe, transparent, and ethically sound manner. David’s major contributions include the creation of the AFFECT-HRI dataset, a pioneering resource for studying physiological data in HRI that has already garnered 16 citations since its 2024 release. This dataset is instrumental in developing robots that can recognize and respond to human affective states, a key step toward truly empathetic machines. His research also addresses the pressing legal and ethical implications of deploying robots in public spaces, as seen in his studies on liability and responsible design—works that have each earned 8 citations. By bridging technical development with ethical frameworks, David is shaping the future of service robots in domains like retail and healthcare, ensuring that as robots become more integrated into daily life, they do so in a way that respects human dignity and privacy.
Research Focus
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Top Papers
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