Arne Eigenfeldt

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About

Arne Eigenfeldt is a pioneering researcher at the intersection of generative music, robotic musicianship, and real-time composition. His work fundamentally explores how software agents can collaborate with human performers and robotic instruments to create evolving, intelligent musical structures. A key contribution is his agent-based architecture for robotic musical performance, which enables polyphonic rhythmic patterns to develop autonomously in a musically coherent manner, as detailed in his most-cited paper (16 citations). Eigenfeldt’s research extends into collaborative composition for musical robots, addressing the practical challenges of integrating robotic percussion and Disklaviers into live rehearsals and stage performances (12 citations). His notable large-scale work, *An Unnatural Selection*—commissioned by Vancouver’s Turning Point Ensemble and premiered in 2014—exemplifies his vision: a generative composition for conductor, eight live musicians, and robotic instruments, where melody, harmony, and rhythm are generated live. Through these contributions, Eigenfeldt has shaped a new paradigm for human-machine musical interaction, demonstrating how generative systems can serve not as replacements but as creative partners in the concert hall.