Overview
- Assesses biological actuation and control in the human motor system to inspire the development of robotic actuators
- Presents actuator design and control concepts including multiple degree of freedom, cellular, redundant, and hybrid approaches
- Discusses approaches to apply bioinspired elastic actuators in the context of rehabilitation and assistive robots
Part of the book series: Studies in Computational Intelligence (SCI, volume 888)
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Table of contents (14 chapters)
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Recent Research on Biological Actuation—What can we Learn from Biology?
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Variable Impedance Actuators and their Relation to Biology
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State of the Art of Engineered Actuators Approaching Muscle Behaviors
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Applying Compliant Actuators in Wearable Robots
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Considerations and conclusions
Keywords
About this book
This book discusses biologically inspired robotic actuators designed to offer improved robot performance and approaching human-like efficiency and versatility. It assesses biological actuation and control in the human motor system, presents a range of technical actuation approaches, and discusses potential applications in wearable robots, i.e., powered prostheses and exoskeletons.
Gathering the findings of internationally respected researchers from various fields, the book provides a uniquely broad perspective on bioinspired actuator designs for robotics. Its scope includes fundamental aspects of biomechanics and neuromechanics, actuator and control design, and their application in (wearable) robotics. The book offers PhD students and advanced graduate students an essential introduction to the field, while providing researchers a cutting-edge research perspective.
Editors and Affiliations
Bibliographic Information
Book Title: Novel Bioinspired Actuator Designs for Robotics
Editors: Philipp Beckerle, Maziar Ahmad Sharbafi, Tom Verstraten, Peter P. Pott, André Seyfarth
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-030-40886-2
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-40885-5Published: 05 September 2021
eBook ISBN: 978-3-030-40886-2Published: 04 September 2021
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: X, 123
Number of Illustrations: 9 b/w illustrations, 27 illustrations in colour
Topics: Robotics and Automation, Computational Intelligence, Artificial Intelligence