Identificacion Principal del registro INGC-EBK-000281

Control Number Identifier AR-LpUFI

LAST MODIFICATION DATE 20160907104001

CONTROL FIELD cr nn 008mamaa

CONTROL FIELD 131212s2014 gw | s |||| 0|eng d

a International Standard Book Number 9783319023625

a Standard number or code 10.1007/978-3-319-02362-5

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

h Medium [libro electrónico] : ;

b Remainder of title An Insect Brain Computational Model /

c Statement of responsibility, etc edited by Paolo Arena, Luca Patané.

a Place of publication, distribution, etc Cham :

b Name of publisher, distributor, etc Springer International Publishing :

b Name of publisher, distributor, etc Imprint: Springer,

c Date of publication, distribution, etc 2014.

a Extent xiv, 371 p. :

b Other physical details il.

a Series statement Cognitive Systems Monographs,

x International Standard Serial Number 1867-4925 ;

v Volume number/sequential designation 21

a Formatted contents note Part I Models of the insect brain: from Neurobiology to Computational Intelligence -- Part II Complex dynamics for internal representation and Locomotion control -- Part III Software/Hardware cognitive architectures -- Part IV Scenarios and experiments.

a Summary, etc 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.

a Topical term or geographic name as entry element Engineering.

a Topical term or geographic name as entry element Bioinformatics.

a Topical term or geographic name as entry element Computational intelligence.

a Topical term or geographic name as entry element Robotics.

a Topical term or geographic name as entry element Automation.

a Topical term or geographic name as entry element Computational Biology

a Personal name Arena, Paolo,

e Relator term ed.

a Personal name Patané, Luca,

e Relator term ed.

u Uniform Resource Identifier (R) http://dx.doi.org/10.1007/978-3-319-02362-5

c item type EBK

a descripción COM