A generative physical model approach for enhancing the stroke palette for robotic drummers

摘要

Achieving human-like musical expressivity in musical robots has been a long standing goal for roboticists and musicians who work in the emerging field of robotic musicianship. In robotic drumming, a major subfield of robotic musicianship, research toward achieving this goal has focused on the development of musical analysis and improvisational algorithms, design of robots that respond in a contextually appropriate way to music and methods to utilize gestures in collaborative music making. This research addresses the "what" in robotic drumming, that is, what are the notes, dynamics, inter-onset times and the rhythmic parameters that a robot should play in response to the musical analysis. Much less research has gone into "how" each of these notes are played and how to enrich the acoustical and timbral expressions of robotic drummers.