Buch, Englisch, Band 8, 256 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 423 g
Embodied Artificial Creativity and Mechatronic Musical Expression
Buch, Englisch, Band 8, 256 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 423 g
Reihe: Automation, Collaboration, & E-Services
ISBN: 978-3-030-38932-1
Verlag: Springer International Publishing
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.Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Geisteswissenschaften Musikwissenschaft Musikwissenschaft Allgemein
- Technische Wissenschaften Sonstige Technologien | Angewandte Technik Akustik, Tontechnik
- Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
Weitere Infos & Material
Introduction.- Georgia Tech’s Robotic Musicianship Platforms.- Listen Like A Human.- Play Like A Machine.- Social Interaction through Gestures.- Watch and Learn.- Wearable Robotic Musicians.
