Roger B. Dannenberg

Carnegie Mellon University, Laboratoire d'Informatique de Paris-Nord

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About

Roger B. Dannenberg is a pioneering figure at the intersection of computer science, music, and robotics. His key research areas include computer music, human-computer interaction, and robotic musicianship. Dannenberg is best known for developing autonomous systems that enable robots to perceive, interpret, and respond to music in real time. His most influential work, "Autonomous robot dancing driven by beats and emotions of music" (45 citations), advances the field of robotic choreography by allowing robots to improvise dance movements based on musical features, eliminating the need for preprogrammed routines. He also created McBlare, a robotic bagpipe player (36 and 10 citations across two papers), which uses electromechanical fingers and a custom air compressor to perform traditional Scottish music via MIDI control. Additionally, his work on expressive humanoid robots for automatic accompaniment demonstrates his commitment to making machines that can collaborate musically with humans. A professor at Carnegie Mellon University’s School of Computer Science, Dannenberg’s contributions have shaped the fields of computer music and robotic performance, inspiring new approaches to human-robot interaction through the universal language of music.