Robotic Musicianship

Robotic Musicianship


Develop creative robots that can listen to, play and improvise music

Issues Involved or Addressed

The Robotic Musicianship Team aims to facilitate meaningful musical interactions between humans and machines, leading to novel musical experiences and outcomes. In our research we combine computational modeling approaches for perception, interaction, and improvisation, with novel approaches for generating acoustic responses in physical and visual manners. The motivation for this work is based on the hypothesis that real-time collaboration between human and robotic players can capitalize on the combination of their unique strengths to produce new and compelling music. Our goal is to combine human qualities such musical expression and emotions with robotic traits such as powerful processing, the ability to perform sophisticated mathematical transformations, robust long-term memory, and the capacity to play accurately without practice.

Methods and Technologies

  • Machine listening
  • Mechanical Design
  • Sensors (EMG, EEG, others)
  • Actuators
  • Artificial Vision
  • Artificial Creativity
  • Automatic Composition

Academic Majors of Interest

  • Biomedical Engineering
  • Computer Engineering
  • Computer Science
  • Digital Media
  • Electrical Engineering
  • Human-Computer Interaction
  • Mechanical Engineering
  • Physics
  • Computational Media

Preferred Interests and Preparation

Meeting Schedule & Location






Couch 100

Team Advisors

Gil Weinberg