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Metrics of Sensory Motor Coordination and Integration in Robots and Animals

How to Measure the Success of Bioinspired Solutions with Respect to their Natural Models, and Against More ‘Artificial’ Solutions?

  • Fabio Bonsignorio
  • Elena Messina
  • Angel P. del Pobil
  • John Hallam

Part of the Cognitive Systems Monographs book series (COSMOS, volume 36)

Table of contents

  1. Front Matter
    Pages i-xxviii
  2. Engineering Methods for Measuring Sensory Motor Integration and Coordination in Animals, Humans and Their Interactions

    1. Front Matter
      Pages 1-1
    2. Barbara Mazzolai, Laura Margheri, Cecilia Laschi
      Pages 3-14
    3. Arunkumar Ramaswamy, Bruno Monsuez, Adriana Tapus
      Pages 15-37
  3. Engineering Methods for Measuring Sensory Motor Integration and Coordination in Robots

    1. Front Matter
      Pages 39-39
    2. Frank Guerin, Lauriane Rat-Fischer
      Pages 73-86
  4. Quantitative Models and Mathematical Tools

    1. Front Matter
      Pages 87-87
    2. Martin F. Stoelen, Davide Marocco, Fabio Bonsignorio, Angelo Cangelosi
      Pages 127-145
    3. Diego Torricelli, Rahman S. M. Mizanoor, Vittorio Lippi, Maarten Weckx, Glenn Mathijssen, Bram Vanderborght et al.
      Pages 147-166
  5. A Criticism of the Idea of ‘Benchmarking’

    1. Front Matter
      Pages 167-167
  6. Back Matter
    Pages 181-186

About this book

Introduction

This book focuses on a critical issue in the study of physical agents, whether natural or artificial: the quantitative modelling of sensory–motor coordination.

Adopting a novel approach, it defines a common scientific framework for both the intelligent systems designed by engineers and those that have evolved naturally. As such it contributes to the widespread adoption of a rigorous quantitative and refutable approach in the scientific study of ‘embodied’ intelligence and cognition

More than 70 years after Norbert Wiener’s famous book Cybernetics: or Control and Communication in the Animal and the Machine (1948), robotics, AI and life sciences seem to be converging towards a common model of what we can call the ‘science of embodied intelligent/cognitive agents’.

This book is interesting for an interdisciplinary community of researchers, technologists and entrepreneurs working at the frontiers of robotics and AI, neuroscience and general life and brain sciences.

Keywords

Bioinspiration Biomimetics Cognitive Systems Sensory Motor Integration Sensory Motor Integration in Robots and Animals

Editors and affiliations

  • Fabio Bonsignorio
    • 1
  • Elena Messina
    • 2
  • Angel P. del Pobil
    • 3
  • John Hallam
    • 4
  1. 1.Institute of BioroboticsScuola Superiore Sant’AnnaPisaItaly
  2. 2.Intelligent Systems Division, Manipulation and Mobility Systems GroupNational Institute of Standards and TechnologyGaithersburgUSA
  3. 3.Robotic Intelligence Laboratory, Department of Computer Science and EngineeringUniversidad Jaume ICastellón de la PlanaSpain
  4. 4.Mærsk Mc-Kinney Møller InstituteUniversity of Southern DenmarkOdenseDenmark

Bibliographic information