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  • © 2014

Spatial Temporal Patterns for Action-Oriented Perception in Roving Robots II

An Insect Brain Computational Model

  • Focuses on the problem of action-oriented perception drawing inspiration from the insect world
  • Introduces an up-to-date insect-brain model inspired by the Drosophila Melanogaster and applied to mobile robots
  • Presents a suitable blend of biologically inspired networks and complex nonlinear dynamical systems
  • Includes supplementary material: sn.pub/extras

Part of the book series: Cognitive Systems Monographs (COSMOS, volume 21)

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Table of contents (11 chapters)

  1. Front Matter

    Pages i-xiv
  2. Models of the Insect Brain: From Neurobiology to Computational Intelligence

    1. Front Matter

      Pages 1-1
    2. A Computational Model for the Insect Brain

      • P. Arena, L. Patanè, P. S. Termini
      Pages 43-80
  3. Complex Dynamics for Internal Representation and Locomotion Control

    1. Front Matter

      Pages 81-81
    2. Compact Internal Representation of Dynamic Environments: Simple Memory Structures for Complex Situations

      • J. A. Villacorta-Atienza, M. G. Velarde, V. A. Makarov
      Pages 83-100
    3. CPG for Motor Control

      • E. Arena, P. Arena, L. Patanè
      Pages 101-122
  4. Software/Hardware Cognitive Architectures

    1. Front Matter

      Pages 151-151
    2. A Robotic Simulation Framework for Cognitive Systems

      • P. Arena, L. Patanè, A. Vitanza
      Pages 153-176
    3. Robotic Platforms

      • I. Aleo, P. Arena, S. De Fiore, L. Patanè, M. Pollino, C. Ventura
      Pages 177-216
    4. Visual Routines for Cognitive Systems on the Eye-RIS Platform

      • D. J. Caballero-Garcia, A. Jimenez-Marrufo
      Pages 249-316
  5. Scenarios and Experiments

    1. Front Matter

      Pages 317-317
    2. Experimental Scenarios

      • P. Arena, L. Patanè
      Pages 319-329
    3. Robotic Experiments and Comparisons

      • P. Arena, S. De Fiore, L. Patanè, P. S. Termini, A. Vitanza
      Pages 331-371

About this book

This book presents the result of a joint effort from different European Institutions within the framework of the EU funded project called SPARK II, devoted to device an insect brain computational model, useful to be embedded into autonomous robotic agents.
Part I reports the biological background on Drosophila melanogaster with particular attention to the main centers which are used as building blocks for the implementation of the insect brain computational model.
Part II reports the mathematical approach to model the Central Pattern Generator used for the gait generation in a six-legged robot. Also the Reaction-diffusion principles in non-linear lattices are exploited to develop a compact internal representation of a dynamically changing environment for behavioral planning.
In Part III a software/hardware framework, developed to integrate the insect brain computational model in a simulated/real robotic platform, is illustrated. The different robots used for the experiments are also described. Moreover the problems related to the vision system were addressed proposing robust solutions for object identification and feature extraction.
Part IV includes the relevant scenarios used in the experiments to test the capabilities of the insect brain-inspired architecture taking as comparison the biological case. Experimental results are finally reported, whose multimedia can be found in the SPARK II web page: www.spark2.diees.unict.it

Editors and Affiliations

  • Dipartimento di Ingegneria Elettrica Elettronica e dei Sistemi, Università di Catania, Catania, Italy

    Paolo Arena, Luca Patanè

Bibliographic Information

  • Book Title: Spatial Temporal Patterns for Action-Oriented Perception in Roving Robots II

  • Book Subtitle: An Insect Brain Computational Model

  • Editors: Paolo Arena, Luca Patanè

  • Series Title: Cognitive Systems Monographs

  • DOI: https://doi.org/10.1007/978-3-319-02362-5

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2014

  • Hardcover ISBN: 978-3-319-02361-8Published: 07 January 2014

  • Softcover ISBN: 978-3-319-34695-3Published: 27 August 2016

  • eBook ISBN: 978-3-319-02362-5Published: 12 December 2013

  • Series ISSN: 1867-4925

  • Series E-ISSN: 1867-4933

  • Edition Number: 1

  • Number of Pages: XIV, 371

  • Number of Illustrations: 51 b/w illustrations, 205 illustrations in colour

  • Topics: Robotics and Automation, Computational Intelligence, Computational Biology/Bioinformatics

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access