rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    non sort: The
    title: Visual Neuroscience of Robotic Grasping
    sub title: Achieving Sensorimotor Skills through Dorsal-Ventral Stream Integration
  name:
    name part: Chinellato, Eris.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: del Pobil, Angel P.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2016
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIII, 165 p. 56 illus., 30 illus. in color. online resource.
  abstract: 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.
  table of contents: Introduction -- The Neuroscience of Action and Perception -- Intelligent Robotic Grasping? -- Vision-Based Grasping, where Robotics Meets Neuroscience -- Extraction of Grasp-Related Visual Features -- Visuomotor Transformations for Grasp Planning and Execution -- An Ever-Developing Research Framework.
  note: by Eris Chinellato, Angel P. del Pobil.
  subject:
    topic: Engineering
  subject:
    topic: Neurosciences
  subject:
    topic: Bioinformatics
  subject:
    topic: Computational intelligence
  subject:
    topic: Robotics
  subject:
    topic: Automation
  subject:
    topic: Engineering
  subject:
    topic: Robotics and Automation
  subject:
    topic: Computational Intelligence
  subject:
    topic: Computational Biology/Bioinformatics
  subject:
    topic: Neurosciences
  classification: TJ210.2-211.495
  classification: T59.5
  classification: 629.892
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Cognitive Systems Monographs, 28
  identifier: 9783319203034
  identifier: http://dx.doi.org/10.1007/978-3-319-20303-4
  record info:
    record creation date: 150619
    record change date: 20151103131643.0
    record identifier: 978-3-319-20303-4