TOM: The Assistant Robotic Tutor of Musicianship with Sound Peak Beat Detection

Gareth Hawkins, Esyin Chew*

*Corresponding author for this work

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

Abstract

Most past literatures surrounding musical robots has focused on either the engineering design of physical robots that could produce musical sounds, or on the mixed mechatronics aspects of algorithms enhancement to design robots gaining musicianship skills. The recent combined both these research fields into one is called Robotic Musicianship, which is innovative but with limited literatures. Robot musician involved sound peak beat detection techniques to enable musical perception. Responding to the novelty demand, the study adapted design approach of onset beat detection, blended with positivists’ philosophical approaches, and deductive principles associated with these philosophies were adhered to. The study aim to conduct a conceptual design and implement the drum rudiment for a robotic assistant tutor to co-demo electronic snare drum. The design approach of onset beat detection is adapted. The fundamentals of this robot prototype and rudiment work well, although many improvements can be done on the functionality and fluidity, doing so should further enhance engagement and musical development, and achieve the long-term goal to branch out to higher levels of education for music.

Original languageEnglish
Title of host publicationRecent Trends in Mechatronics Towards Industry 4.0 - Selected Articles from iM3F 2020
EditorsAhmad Fakhri Ab. Nasir, Ahmad Najmuddin Ibrahim, Ismayuzri Ishak, Nafrizuan Mat Yahya, Muhammad Aizzat Zakaria, Anwar P. P. Abdul Majeed
PublisherSpringer Science and Business Media Deutschland GmbH
Pages749-759
Number of pages11
ISBN (Print)9789813345966
DOIs
Publication statusPublished - 16 Jul 2021
EventInnovative Manufacturing, Mechatronics and Materials Forum, iM3F 2020 - Gambang, Malaysia
Duration: 6 Aug 20206 Aug 2020

Publication series

NameLecture Notes in Electrical Engineering
Volume730
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInnovative Manufacturing, Mechatronics and Materials Forum, iM3F 2020
Country/TerritoryMalaysia
CityGambang
Period6/08/206/08/20

Keywords

  • Robot application
  • Robotic assistant tutor
  • Robotic musician
  • Robotics
  • Sound peak beat detection

Cite this