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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?

  • Book
  • © 2020

Overview

Editors:
  1. Fabio Bonsignorio

    1. Institute of Biorobotics, Scuola Superiore Sant’Anna, Pisa, Italy

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  2. Elena Messina

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

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  3. Angel P. del Pobil

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

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  4. John Hallam

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

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  • 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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Table of contents (9 chapters)

  1. Front Matter

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

    1. Front Matter

      Pages 1-1
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    2. Quantitative Measurements of Octopus vulgaris Arms for Bioinspired Soft Robotics

      • Barbara Mazzolai, Laura Margheri, Cecilia Laschi
      Pages 3-14

    3. Formal Specification of Robotic Architectures for Experimental Robotics

      • 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
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    2. Application and Exploration of Sensorimotor Coordination Strategies in Surgical Robotics

      • Anthony Jarc, Ilana Nisky
      Pages 41-71

    3. Benchmarking in Developmental Robotics

      • Frank Guerin, Lauriane Rat-Fischer
      Pages 73-86

  4. Quantitative Models and Mathematical Tools

    1. Front Matter

      Pages 87-87
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    2. Entropy Based Metrics of Sensory Motor Coordination

      • Fabio Bonsignorio
      Pages 89-110

    3. On the Complex Behaviour of Natural and Artificial Machines and Systems

      • H. Zenil
      Pages 111-125

    4. Measuring Progress on an Approach for Interactive Learning of Context-Driven Actions

      • Martin F. Stoelen, Davide Marocco, Fabio Bonsignorio, Angelo Cangelosi
      Pages 127-145

    5. Benchmarking Human Likeness of Bipedal Robot Locomotion: State of the Art and Future Trends

      • 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
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    2. Measuring Progress in Robotics: Benchmarking and the ‘Measure-Target Confusion’

      • Vincent C. Müller
      Pages 169-179

  6. Back Matter

    Pages 181-186
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Keywords

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.

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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