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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?

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  • © 2020

Overview

  • Employs a broad interdisciplinary approach to treat relevant issues related to the metrics of sensory motor integration in robots and animals
  • Provides an insightful panorama of the ongoing work, with the intent to inspire further research
  • Lays foundations of a replicable robotics research publishing thread based on the publication of fully replicable experiments
  • Contributors are leading researcher in biomimetics growing areas of interdisciplinary research

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

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About this book

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.

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Table of contents (9 chapters)

  1. Engineering Methods for Measuring Sensory Motor Integration and Coordination in Animals, Humans and Their Interactions

  2. Engineering Methods for Measuring Sensory Motor Integration and Coordination in Robots

  3. Quantitative Models and Mathematical Tools

  4. A Criticism of the Idea of ‘Benchmarking’

Editors and Affiliations

  • Institute of Biorobotics, Scuola Superiore Sant’Anna, Pisa, Italy

    Fabio Bonsignorio

  • Intelligent Systems Division, Manipulation and Mobility Systems Group, National Institute of Standards and Technology, Gaithersburg, USA

    Elena Messina

  • Robotic Intelligence Laboratory, Department of Computer Science and Engineering, Universidad Jaume I, Castellón de la Plana, Spain

    Angel P. del Pobil

  • Mærsk Mc-Kinney Møller Institute, University of Southern Denmark, Odense, Denmark

    John Hallam

Bibliographic Information

  • Book Title: Metrics of Sensory Motor Coordination and Integration in Robots and Animals

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

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

  • Series Title: Cognitive Systems Monographs

  • DOI: https://doi.org/10.1007/978-3-030-14126-4

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: Springer Nature Switzerland AG 2020

  • Hardcover ISBN: 978-3-030-14124-0Published: 02 April 2019

  • eBook ISBN: 978-3-030-14126-4Published: 23 March 2019

  • Series ISSN: 1867-4925

  • Series E-ISSN: 1867-4933

  • Edition Number: 1

  • Number of Pages: XXVIII, 186

  • Number of Illustrations: 7 b/w illustrations, 44 illustrations in colour

  • Topics: Robotics and Automation, Computational Intelligence

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