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Robotic Musicianship

Embodied Artificial Creativity and Mechatronic Musical Expression

Authors:

  • Explores the exciting novel opportunities that emerge at the cusp of the intersection between 1. Musical Mechatronics, which is the study and construction of physical systems that generate sound through mechanical means; and 2. Machine Musicianship, which focuses on developing algorithms and cognitive models representative of various aspects of music perception, composition, performance, and theory
  • Presents state-of-the-art research and developments
  • Interesting to musicians, scientists, engineers, and artists who are interested in the interdisciplinary intersections of their respective fields and in exploring the inherent challenges involved in making a machine artistically expressive
  • The book ends with a fictional chapter exploring the potential impact of creative robotics on society

Part of the book series: Automation, Collaboration, & E-Services (ACES, volume 8)

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Hardcover Book USD 179.99
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Table of contents (7 chapters)

  1. Front Matter

    Pages i-xvii
  2. Introduction

    • Gil Weinberg, Mason Bretan, Guy Hoffman, Scott Driscoll
    Pages 1-24
  3. Platforms—Georgia Tech’s Robotic Musicians

    • Gil Weinberg, Mason Bretan, Guy Hoffman, Scott Driscoll
    Pages 25-61
  4. “Listen Like A Human”—Human-Informed Music Perception Models

    • Gil Weinberg, Mason Bretan, Guy Hoffman, Scott Driscoll
    Pages 63-94
  5. “Play Like A Machine”—Generative Musical Models for Robots

    • Gil Weinberg, Mason Bretan, Guy Hoffman, Scott Driscoll
    Pages 95-142
  6. “Be Social”—Embodied Human-Robot Musical Interactions

    • Gil Weinberg, Mason Bretan, Guy Hoffman, Scott Driscoll
    Pages 143-187
  7. “Watch and Learn”—Computer Vision for Musical Gesture Analysis

    • Gil Weinberg, Mason Bretan, Guy Hoffman, Scott Driscoll
    Pages 189-212
  8. “Wear it”—Wearable Robotic Musicians

    • Gil Weinberg, Mason Bretan, Guy Hoffman, Scott Driscoll
    Pages 213-254
  9. Back Matter

    Pages 255-256

About this book

This book discusses the principles, methodologies, and challenges of robotic musicianship through an in-depth review of the work conducted at the Georgia Tech Center for Music Technology (GTCMT), where the concept was first developed. Robotic musicianship is a relatively new research field that focuses on the design and development of intelligent music-making machines. The motivation behind the field is to develop robots that not only generate music, but also collaborate with humans by listening and responding in an expressive and creative manner. This combination of human and machine creativity has the potential to surprise and inspire us to play, listen, compose, and think about music in new ways.

The book provides an in-depth view of the robotic platforms designed at the GTCMT Robotic Musicianship Group, including the improvisational robotic percussionists Haile and Shimon, the personal robotic companion Shimi, and a number of wearable robots, such as the Robotic Drumming Prosthesis, The Third Drumming Arm, and the Skywalker Piano Hand. The book discusses numerous research studies based on these platforms in the context of five main principles: Listen like a Human, Play Like a Machine, Be Social, Watch and Learn, and Wear It.

 

Authors and Affiliations

  • Georgia Institute of Technology, Atlanta, USA

    Gil Weinberg

  • Novato, USA

    Mason Bretan

  • Cornell University, Ithaca, USA

    Guy Hoffman

  • Atlanta, USA

    Scott Driscoll

Bibliographic Information

Buy it now

Buying options

eBook USD 139.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 179.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 179.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access