The Visual Neuroscience of Robotic Grasping

Achieving Sensorimotor Skills through Dorsal-Ventral Stream Integration

  • Eris Chinellato
  • Angel P. del Pobil

Part of the Cognitive Systems Monographs book series (COSMOS, volume 28)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Eris Chinellato, Angel P. del Pobil
    Pages 1-5
  3. Eris Chinellato, Angel P. del Pobil
    Pages 7-38
  4. Eris Chinellato, Angel P. del Pobil
    Pages 39-56
  5. Eris Chinellato, Angel P. del Pobil
    Pages 57-81
  6. Eris Chinellato, Angel P. del Pobil
    Pages 83-118
  7. Eris Chinellato, Angel P. del Pobil
    Pages 119-143
  8. Eris Chinellato, Angel P. del Pobil
    Pages 145-165

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.


Cognitive Systems Grasping Robotic Grasping Vision-based Grasping Visual Neuroscience

Authors and affiliations

  • Eris Chinellato
    • 1
  • Angel P. del Pobil
    • 2
  1. 1.School of ComputingUniversity of LeedsLeedsUnited Kingdom
  2. 2.Dept. ICCJaume I UniversityCastellonSpain

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-20302-7
  • Online ISBN 978-3-319-20303-4
  • Series Print ISSN 1867-4925
  • Series Online ISSN 1867-4933
  • Buy this book on publisher's site
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