Overview
- Presents an integrated approach between neuroscience and robotics to understand the complex issue of sensorimotor control of the hand
- Enriches the understanding of synergies as a framework for an efficient control of multi-element motor systems and for the analysis of hand motion and grasping
- Provides useful tools for the effective design of artificial hands for the analysis of hand motion and grasping
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Series on Touch and Haptic Systems (SSTHS)
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Table of contents (15 chapters)
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Neuroscience
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Robotics, Models and Sensing Tools
Keywords
About this book
This book looks at the common problems both human and robotic hands encounter when controlling the large number of joints, actuators and sensors required to efficiently perform motor tasks such as object exploration, manipulation and grasping. The authors adopt an integrated approach to explore the control of the hand based on sensorimotor synergies that can be applied in both neuroscience and robotics. Hand synergies are based on goal-directed, combined muscle and kinematic activation leading to a reduction of the dimensionality of the motor and sensory space, presenting a highly effective solution for the fast and simplified design of artificial systems.
Presented in two parts, the first part, Neuroscience, provides the theoretical and experimental foundations to describe the synergistic organization of the human hand. The second part, Robotics, Models and Sensing Tools, exploits the framework of hand synergies to better control and design robotic hands and haptic/sensing systems/tools, using a reduced number of control inputs/sensors, with the goal of pushing their effectiveness close to the natural one.
Human and Robot Hands provides a valuable reference for students, researchers and designers who are interested in the study and design of the artificial hand.
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Editors and Affiliations
Bibliographic Information
Book Title: Human and Robot Hands
Book Subtitle: Sensorimotor Synergies to Bridge the Gap Between Neuroscience and Robotics
Editors: Matteo Bianchi, Alessandro Moscatelli
Series Title: Springer Series on Touch and Haptic Systems
DOI: https://doi.org/10.1007/978-3-319-26706-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2016
Hardcover ISBN: 978-3-319-26705-0Published: 03 March 2016
Softcover ISBN: 978-3-319-80001-1Published: 07 April 2018
eBook ISBN: 978-3-319-26706-7Published: 24 February 2016
Series ISSN: 2192-2977
Series E-ISSN: 2192-2985
Edition Number: 1
Number of Pages: XI, 283
Number of Illustrations: 66 b/w illustrations, 31 illustrations in colour
Topics: User Interfaces and Human Computer Interaction, Control, Robotics, Mechatronics, Neurosciences, Artificial Intelligence