A robotic system for imitating human percussionists

Fouad Sukkar, Richard Savery, Nadimul Haque, Cedric Le Gentil, Raphael Falque, Teresa Vidal-Calleja

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

    1 Citation (Scopus)

    Abstract

    Robot musicians have the potential to revolutionise the way humans perceive and create music. Recent breakthroughs in this field have tended to focus more on the digital generation of music. Instead, we address how a musician’s physical embodiment can be translated to a robotic arm. Robots endowed with human-like musical capability open the possibility for wider applications such as human-robot bands, musical education and musical art. Prior work in this area tends to rely on pre-programmed actuation which is limited to simple motion and sound. In this paper, we propose a robotic system capable of imitating a human musician, with a focus on percussion instruments. Our system consists of a method for recording the human demonstration, a compact continuous representation of the demonstrated motion and a motion reproduction method which considers the dynamic constraints of the robot. We present results of our system and show that it is capable of closely reproducing the motion of the human percussionist.

    Original languageEnglish
    Title of host publicationACRA 2023 Proceedings
    PublisherAustralian Robotics and Automation Association
    Number of pages8
    Publication statusPublished - 2023
    Event2023 Australasian Conference on Robotics and Automation, ACRA 2023 - Sydney, Australia
    Duration: 4 Dec 20236 Dec 2023

    Publication series

    NameAustralasian Conference on Robotics and Automation, ACRA
    ISSN (Print)1448-2053

    Conference

    Conference2023 Australasian Conference on Robotics and Automation, ACRA 2023
    Country/TerritoryAustralia
    CitySydney
    Period4/12/236/12/23

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