The Beatbots: A Musician-Informed Multi-Robot Percussion Quartet

Isabella Pu, Jeff Snyder, Naomi Ehrich Leonard

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Artistic creation is often seen as a uniquely human endeavor, yet robots bring distinct advantages to music-making, such as precise tempo control, unpredictable rhythmic complexities, and the ability to coordinate intricate human and robot performances. While many robotic music systems aim to mimic human musicianship, our work emphasizes the unique strengths of robots, resulting in a novel multi-robot performance instrument called the Beatbots, capable of producing music that is challenging for humans to replicate using current methods. The Beatbots were designed using an 'informed prototyping' process, incorporating feedback from three musicians throughout development. We evaluated the Beatbots through a live public performance, surveying participants (N=28) to understand how they perceived and interacted with the robotic performance. Results show that participants valued the playfulness of the experience, the aesthetics of the robot system, and the unconventional robot-generated music. Expert musicians and non-expert roboticists demonstrated especially positive mindset shifts during the performance, although participants across all demographics had favorable responses. We propose design principles to guide the development of future robotic music systems and identify key robotic music affordances that our musician consultants considered particularly important for robotic music performance.

Original languageEnglish (US)
Title of host publicationHRI 2025 - Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction
PublisherIEEE Computer Society
Pages65-74
Number of pages10
ISBN (Electronic)9798350378931
DOIs
StatePublished - 2025
Event20th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2025 - Melbourne, Australia
Duration: Mar 4 2025Mar 6 2025

Publication series

NameACM/IEEE International Conference on Human-Robot Interaction
ISSN (Electronic)2167-2148

Conference

Conference20th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2025
Country/TerritoryAustralia
CityMelbourne
Period3/4/253/6/25

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Human-Computer Interaction
  • Electrical and Electronic Engineering

Keywords

  • informed prototyping
  • multi-robot systems
  • robotic music

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