Overview
- First comprehensive textbook on Soft Robotics
- Combines diverse academic fields aimed at softness
- Contains columns and exercises
Part of the book series: Natural Computing Series (NCS)
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Table of contents (17 chapters)
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Front Matter
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Design of Soft Robots
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Front Matter
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Keywords
About this book
The goal of this textbook is to equip readers with as structured knowledge of soft robotics as possible. Seeking to overcome the limitations of conventional robots by making them more flexible, gentle and adaptable, soft robotics has become one of the most active fields over the last decade. Soft robotics is also highly interdisciplinary, bringing together robotics, computer science, material science, biology, etc.
After the introduction, the content is divided into three parts: Design of Soft Robots; Soft Materials; and Autonomous Soft Robots. Part I addresses soft mechanisms, biological mechanisms, and soft manipulation & locomotion. In Part II, the basics of polymer, biological materials, flexible & stretchable sensors, and soft actuators are discussed from a materials science standpoint. In turn, Part III focuses on modeling & control of continuum bodies, material intelligence, and information processing using soft body dynamics. In addition, the latest research resultsand cutting-edge research are highlighted throughout the book.
Written by a team of researchers from highly diverse fields, the work offers a valuable textbook or technical guide for all students, engineers and researchers who are interested in soft robotics.
Editors and Affiliations
About the editors
Kenjiro Fukuda is a senior research scientist at RIKEN Center for Emergent Matter Science.
Ryuma Niiyama is an associate professor at Meiji University.
Kohei Nakajima is an associate professor at the University of Tokyo.
Bibliographic Information
Book Title: The Science of Soft Robots
Book Subtitle: Design, Materials and Information Processing
Editors: Koichi Suzumori, Kenjiro Fukuda, Ryuma Niiyama, Kohei Nakajima
Series Title: Natural Computing Series
DOI: https://doi.org/10.1007/978-981-19-5174-9
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023
Hardcover ISBN: 978-981-19-5173-2Published: 13 September 2023
Softcover ISBN: 978-981-19-5176-3Due: 14 October 2023
eBook ISBN: 978-981-19-5174-9Published: 12 September 2023
Series ISSN: 1619-7127
Series E-ISSN: 2627-6461
Edition Number: 1
Number of Pages: XVI, 406
Number of Illustrations: 82 b/w illustrations, 131 illustrations in colour
Topics: Artificial Intelligence, Control, Robotics, Mechatronics, Biological and Medical Physics, Biophysics, Materials Science, general, Biomaterials, Biomedical Engineering and Bioengineering