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About

Amit Rogel is a pioneering researcher at the intersection of robotics, music, and human-robot interaction (HRI), whose work redefines how robots move, express emotion, and collaborate with humans. His primary research areas include expressive robotic motion, musical prosody for robotic groups, and gesture-based synchronization in human-robot musical interaction. Rogel’s major contributions include developing *RoboGroove*, a method for generating fluid, dance-like robotic arm trajectories that enhance perceived expressivity (22 citations), and designing the *Expressive Robotic Guitarist (ERG)*, a system capable of playing a commercial acoustic guitar with millisecond-level precision and dynamic control. He has also explored how musical features can convey safety in HRI and how personality traits like neuroticism and extraversion can drive emotionally responsive robotic behavior. His work on emotion musical prosody for robotic groups (11 citations) addresses the underexplored dynamics of multi-robot interactions. Notably, Rogel’s research on non-anthropomorphic robot dancing and music-driven emotional interaction pushes the boundaries of robotic artistry and social intelligence. With a growing citation impact and a portfolio of innovative, interdisciplinary projects, Rogel is shaping the future of expressive, musically-aware robotics.