“Play Like A Machine”—Generative Musical Models for Robots

Weinberg, Gil; Bretan, Mason; Hoffman, Guy; Driscoll, Scott

doi:10.1007/978-3-030-38930-7_4

Cited by 1 publication

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“…WP3 (guitarist) comments that “robots can go beyond [the] physical limitations of what [humans] can do, in precision or stamina.” For example, “it can control airflow much better than a human can.” Another example is “the concept of deliberate practice [for] 10,000 hour, AI and robotics could do this much faster because they [do not] need to spend 10,000 hour [learning] how to play.” Currently, “instruments are designed for ten fingers and within reach of a human arm span, but instruments no longer have to be designed with those constraints” (WP2, percussionist). Incorporating superhuman robots in improvisation could introduce new patterns of playing and new ways of improvising beyond human physical capability, as illustrated, for example, in Weinberg’s work on super-human musical robots ( Bretan et al, 2016 ; Weinberg et al, 2020 ).…”

Section: Ai and Robotics As “Superhumans”mentioning

confidence: 99%

Lessons From Joint Improvisation Workshops for Musicians and Robotics Engineers

Carter

Papalexandri-Alexandri

Hoffman

2021

Front. Robot. AI

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We report on a series of workshops with musicians and robotics engineers aimed to study how human and machine improvisation can be explored through interdisciplinary design research. In the first workshop, we posed two leading questions to participants. First, what can AI and robotics learn by how improvisers think about time, space, actions, and decisions? Second, how can improvisation and musical instruments be enhanced by AI and robotics? The workshop included sessions led by the musicians, which provided an overview of the theory and practice of musical improvisation. In other sessions, AI and robotics researchers introduced AI principles to the musicians. Two smaller follow-up workshops comprised of only engineering and information science students provided an opportunity to elaborate on the principles covered in the first workshop. The workshops revealed parallels and discrepancies in the conceptualization of improvisation between musicians and engineers. These thematic differences could inform considerations for future designers of improvising robots.

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Section: Ai and Robotics As “Superhumans”mentioning

confidence: 99%