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An interactive multimedia performance where robots come to life, responding to live musicians' melody, harmony, and rhythm, showcasing real-time pitch and beat detection that triggers different movements and sounds.

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Robotic Musicianship at Georgia Tech

About

This is a repository for Motion Capture and Music MIDI Generation which is part of Georgia Tech Center for Music Technology's Forest project.

Fall 2021

Results

Robots come alive to music, interacting and playing with live musicians. The robots listen and respond to melody, rhythm and harmony of the performers and sing/dance along with them. The tech involves real-time pitch and beat detection that trigger different movements and sounds.

End of Semester Performance

Technologies

  • MIDI Interpretation

  • Live Trajectory Generation

Spring 2022

Results

Mid Semester Presentation

Technologies

  • Live Trajectory Generation - Continued
  • Motion Capture
  • PoseNet - Posture Detection Neural Network

Contributors and Collaborators

  • Hardik Goel
  • Amit Rogel
  • Nitin Hugar
  • Daniel Philipenko

About

An interactive multimedia performance where robots come to life, responding to live musicians' melody, harmony, and rhythm, showcasing real-time pitch and beat detection that triggers different movements and sounds.

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