Hugo L. Fernandes
Papers
1
Total Citations
63
H-Index
1
About
Hugo L. Fernandes is a pioneering researcher in human-robot interaction, with a particular focus on the nuanced dynamics of physical touch and movement. His work bridges robotics, cognitive science, and social psychology to explore how machines can be perceived as more human-like. Fernandes’s most notable contribution is the development of the "Turing-Like Handshake Test," a groundbreaking framework inspired by the classic Turing test. In his highly cited 2012 paper (63 citations), he proposes that a robot’s handshake can be evaluated for its indistinguishability from a human’s, moving beyond verbal intelligence to embodied social cues. This work has profound implications for designing robots that engage in natural, trust-building physical interactions. By demonstrating that three distinct handshake models can be tested for human-likeness, Fernandes has opened a new avenue for assessing robotic social competence. His research is essential for students and engineers aiming to create robots that not only perform tasks but also connect with people on a fundamental, tactile level.
Research Focus
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Top Papers
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