Leonardo Jenkins

Papers

Total Citations

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About

Leonardo Jenkins is a pioneering researcher at the intersection of music, robotics, and human-computer interaction. His primary focus lies in the design and development of autonomous musical instruments, with a particular emphasis on self-tuning robotic string systems. Jenkins’s most significant contribution is the creation of STARI—a Self-Tuning Auto-Monochord Robotic Instrument—which he introduced in his seminal 2013 paper. This work details the motivation, design, and engineering of a portable, autonomous robotic monochord intended for both creative performance and pedagogical exploration. By performing rigorous technical tests to optimize the instrument’s mechanical and acoustic properties, Jenkins established a foundational framework for building responsive, self-correcting musical robots. Although his highly specialized work has garnered a modest 5 citations, its impact is deeply felt within the niche field of robotic musicianship, where STARI is recognized as a key proof-of-concept for accessible, automated string instruments. Jenkins’s research bridges the gap between engineering precision and artistic expression, offering a tangible platform for future innovations in interactive music technology.