Antonio Rapuano

Papers

Total Citations

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About

Antonio Rapuano is a researcher at the intersection of human-robot interaction and biometric security, with a focus on making social robots more intuitive and trustworthy. His most-cited work, "HiMessage: An Interactive Voice Mail System with the Humanoid Robot Pepper" (2019, 10 citations), introduces a novel voice mail system encrypted by a biometric key and deployed on the humanoid robot Pepper. By integrating a facial recognition algorithm, Rapuano enables Pepper to identify approaching users and allow them to record secure, personalized messages for others. This contribution demonstrates how social robots can serve as secure communication intermediaries, blending accessibility with privacy. Beyond this flagship paper, Rapuano's research explores how robots can recognize and respond to human presence, advancing the usability of embodied AI in everyday settings. His work is particularly notable for its practical application of biometrics in social robotics, a field where security and user experience often conflict. With a growing citation footprint, Rapuano is establishing himself as a key voice in designing robots that are not only interactive but also respectful of user identity and data.