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The Visual Neuroscience of Robotic Grasping

Achieving Sensorimotor Skills through Dorsal-Ventral Stream Integration

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  • © 2016

Overview

Authors:
  1. Eris Chinellato

    1. School of Computing, University of Leeds, Leeds, United Kingdom

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  2. Angel P. del Pobil

    1. Dept. ICC, Jaume I University, Castellon, Spain

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    You can also search for this author in PubMed   Google Scholar

  • 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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Table of contents (7 chapters)

  1. Front Matter

    Pages i-xiii
    Download chapter PDF

  2. Introduction

    • Eris Chinellato, Angel P. del Pobil
    Pages 1-5

  3. The Neuroscience of Action and Perception

    • Eris Chinellato, Angel P. del Pobil
    Pages 7-38

  4. Intelligent Robotic Grasping?

    • Eris Chinellato, Angel P. del Pobil
    Pages 39-56

  5. Vision-Based Grasping, Where Robotics Meets Neuroscience

    • Eris Chinellato, Angel P. del Pobil
    Pages 57-81

  6. Extraction of Grasp-Related Visual Features

    • Eris Chinellato, Angel P. del Pobil
    Pages 83-118

  7. Visuomotor Transformations for Grasp Planning and Execution

    • Eris Chinellato, Angel P. del Pobil
    Pages 119-143

  8. An Ever-Developing Research Framework

    • Eris Chinellato, Angel P. del Pobil
    Pages 145-165
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Keywords

About this book

This book presents interdisciplinary research that pursues the mutual enrichment of neuroscience and robotics. Building on experimental work, and on the wealth of literature regarding the two cortical pathways of visual processing - the dorsal and ventral streams - we define and implement, computationally and on a real robot, a functional model of the brain areas involved in vision-based grasping actions.
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.

Authors and Affiliations

  • School of Computing, University of Leeds, Leeds, United Kingdom

    Eris Chinellato

  • Dept. ICC, Jaume I University, Castellon, Spain

    Angel P. del Pobil

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

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