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From Robot to Human Grasping Simulation

  • Beatriz León
  • Antonio Morales
  • Joaquín Sancho-Bru

Part of the Cognitive Systems Monographs book series (COSMOS, volume 19)

Table of contents

  1. Front Matter
    Pages i-x
  2. Beatriz León, Antonio Morales, Joaquin Sancho-Bru
    Pages 1-11
  3. Robot Grasping Simulation

    1. Front Matter
      Pages 13-13
    2. Beatriz León, Antonio Morales, Joaquin Sancho-Bru
      Pages 15-31
    3. Beatriz León, Antonio Morales, Joaquin Sancho-Bru
      Pages 33-65
    4. Beatriz León, Antonio Morales, Joaquin Sancho-Bru
      Pages 67-119
  4. Human Grasping Simulation

    1. Front Matter
      Pages 121-121
    2. Beatriz León, Antonio Morales, Joaquin Sancho-Bru
      Pages 123-173
    3. Beatriz León, Antonio Morales, Joaquin Sancho-Bru
      Pages 175-206
    4. Beatriz León, Antonio Morales, Joaquin Sancho-Bru
      Pages 207-251
    5. Beatriz León, Antonio Morales, Joaquin Sancho-Bru
      Pages 253-261

About this book

Introduction

The human hand and its dexterity in grasping and manipulating objects are some of the hallmarks of the human species. For years, anatomic and biomechanical studies have deepened the understanding of the human hand’s functioning and, in parallel, the robotics community has been working on the design of robotic hands capable of manipulating objects with a performance similar to that of the human hand. However, although many researchers have partially studied various aspects, to date there has been no comprehensive characterization of the human hand’s function for grasping and manipulation of everyday life objects.

This monograph explores the hypothesis that the confluence of both scientific fields, the biomechanical study of the human hand and the analysis of robotic manipulation of objects, would greatly benefit and advance both disciplines through simulation. Therefore, in this book, the current knowledge of robotics and biomechanics guides the design and implementation of a simulation framework focused on manipulation interactions that allows the study of the grasp through simulation. As a result, a valuable framework for the study of the grasp, with relevant applications in several fields such as robotics, biomechanics, ergonomics, rehabilitation and medicine, has been made available to these communities.

Keywords

Cognitive Systems Grasp Through Simulation Grasping Human Grasping Simulation Robotic Grasping

Authors and affiliations

  • Beatriz León
    • 1
  • Antonio Morales
    • 2
  • Joaquín Sancho-Bru
    • 3
  1. 1.Department of Computer Science and Engineering, Robotic Intelligence LabUniversitat Jaume ICastellonSpain
  2. 2.Department of Computer Science and Engineering, Robotic Intelligence LabUniversitat Jaume ICastellonSpain
  3. 3.Department of Mechanical Engineering and Construction, Biomechanics and Ergonomics GroupUniversitat Jaume ICastellonSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-01833-1
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-01832-4
  • Online ISBN 978-3-319-01833-1
  • Series Print ISSN 1867-4925
  • Series Online ISSN 1867-4933
  • Buy this book on publisher's site