Robotic Musicianship and Musical Human Augmentation

被引：0

作者：

Weinberg, Gil ^{[1
]}

机构：

[1] Georgia Tech, Georgia Tech Ctr Mus Technol, Atlanta, GA 30332 USA

来源：

HRI '19: 2019 14TH ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION | 2019年

关键词：

Robotic Musicianship; Human-Robot Interaction; Machine Learning; Computer Music; Human Augmentation;

D O I：

10.1109/hri.2019.8673273

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Robotic Musicianship research at Georgia Tech Center for Music Technology (GTCMT) focuses on the construction of autonomous and wearable robots that can analyze, reason, and generate music. The goal of our research is to facilitate meaningful and inspiring musical interactions between humans and artificially creative machines. In this talk I present the work conducted by the Robotic Musicianship Group at GTCMT over the last 15 years, highlighting the motivation, research questions, platforms, methods, and underlining guidelines for our work.

引用

页码：305 / 306

页数：2