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Robotic Musicianship - Embodied Artificial Creativity and Mechatronic Musical Expression (Hardcover, 1st ed. 2020): Gil... Robotic Musicianship - Embodied Artificial Creativity and Mechatronic Musical Expression (Hardcover, 1st ed. 2020)
Gil Weinberg, Mason Bretan, Guy Hoffman, Scott Driscoll
R4,476 Discovery Miles 44 760 Ships in 12 - 17 working days

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.

Robotic Musicianship - Embodied Artificial Creativity and Mechatronic Musical Expression (Paperback, 1st ed. 2020): Gil... Robotic Musicianship - Embodied Artificial Creativity and Mechatronic Musical Expression (Paperback, 1st ed. 2020)
Gil Weinberg, Mason Bretan, Guy Hoffman, Scott Driscoll
R4,693 Discovery Miles 46 930 Ships in 10 - 15 working days

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.

Computational Human-Robot Interaction (Paperback): Andrea Thomaz, Guy Hoffman, Maya Cakmak Computational Human-Robot Interaction (Paperback)
Andrea Thomaz, Guy Hoffman, Maya Cakmak
R2,232 Discovery Miles 22 320 Ships in 10 - 15 working days

The field of Human-Robot Interaction (HRI) is expanding and maturing and HRI is a research topic which is increasingly solicited and included in the broader robotics community. Computational Human-Robot Interaction provides the reader with a systematic overview of the field of Human-Robot Interaction over the past decade, with a focus on the computational frameworks, algorithms, techniques, and models currently used to enable robots to interact with humans.Within the field of robotics, HRI poses distinct computational challenges, in each of the traditional core research areas: perception, manipulation, planning, task execution, navigation, and learning. The book addresses these challenges by surveying twelve publication venues and including work that tackles computational HRI challenges, categorized along eight topics: (1) Perceiving humans and their activities. (2) Generating and understanding verbal expression. (3) Generating and understanding non-verbal behaviors. (4) Modeling, expressing, and understanding emotional states. (5) Recognizing and conveying intentional action. (6) Ccollaborating with humans. (7) Navigating with and around humans. (8) Learning from humans in a social manner. For each topic, promising future research areas are identified. This is an ideal reference for any researcher who wants to understand the research that has been done so far in the area, and potentially get involved with their own avenue of research.

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