Overview
- State of the art robotics and neuroscience research
- A novel point of view on the two visual streams theory, based on both theoretical and practical considerations, including robot implementations of computational models
- An insightful read both for life scientists and engineers
- Includes supplementary material: sn.pub/extras
Part of the book series: Cognitive Systems Monographs (COSMOS, volume 28)
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About this book
Grasping in robotics is largely an unsolved problem, and we show how the bio-inspired approach is successful in dealing with some fundamental issues of the task. Our robotic system can safely perform grasping actions on different unmodeled objects, denoting especially reliable visual and visuomotor skills.
The computational model and the robotic experiments help in validating theories on the mechanisms employed by the brain areas more directly involved in grasping actions. This book offers new insights and research hypotheses regarding such mechanisms, especially for what concerns the interaction between the dorsal and ventral streams. Moreover, it helps in establishing a common research framework for neuroscientists and roboticists regarding research on brain functions.
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Table of contents (7 chapters)
Authors and Affiliations
Bibliographic Information
Book Title: The Visual Neuroscience of Robotic Grasping
Book Subtitle: Achieving Sensorimotor Skills through Dorsal-Ventral Stream Integration
Authors: Eris Chinellato, Angel P. del Pobil
Series Title: Cognitive Systems Monographs
DOI: https://doi.org/10.1007/978-3-319-20303-4
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-20302-7Published: 01 July 2015
Softcover ISBN: 978-3-319-37998-2Published: 17 October 2016
eBook ISBN: 978-3-319-20303-4Published: 19 June 2015
Series ISSN: 1867-4925
Series E-ISSN: 1867-4933
Edition Number: 1
Number of Pages: XIII, 165
Number of Illustrations: 26 b/w illustrations, 30 illustrations in colour
Topics: Robotics and Automation, Computational Intelligence, Computational Biology/Bioinformatics, Neurosciences