Overview
- Presents action oriented perception from a novel point of view, dealing with complex systems and applied to mobile robotics
- Presents a blend of biologically inspired algorithms and robot prototypes and complex nonlinear dynamics
- Carefully edited outcome of a European research Project called “SPARK”, whose aim is to develop completely new sensing-perceiving-moving artefacts inspired by the basic principles of living systems and based on the concept of “self-organization”
Part of the book series: Cognitive Systems Monographs (COSMOS, volume 1)
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Table of contents (11 chapters)
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Systems
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Software/Hardware Cognitive Architecture and Experiments
Reviews
From the reviews:
“This book is aimed at researchers interested in mobile robots. The book is comprised of a collection of papers that cover the results of the European research project ‘SPARK.’ The goal of the project is to develop biologically inspired cognitive architectures and sensing-perceiving-moving artifacts based on self-organization in complex systems. The results are divided into three parts, including principles of insect perception, cognitive models, and software/hardware cognitive architecture and experiments.” (IEEE Control Systems Magazine, Vol. 30, August, 2010)
Editors and Affiliations
Bibliographic Information
Book Title: Spatial Temporal Patterns for Action-Oriented Perception in Roving Robots
Editors: Paolo Arena, Luca Patanè
Series Title: Cognitive Systems Monographs
DOI: https://doi.org/10.1007/978-3-540-88464-4
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2009
Hardcover ISBN: 978-3-540-88463-7Published: 03 February 2009
Softcover ISBN: 978-3-642-10014-7Published: 08 October 2010
eBook ISBN: 978-3-540-88464-4Published: 19 December 2008
Series ISSN: 1867-4925
Series E-ISSN: 1867-4933
Edition Number: 1
Number of Pages: XXI, 429
Topics: Vibration, Dynamical Systems, Control, Robotics and Automation, Complex Systems, Control, Robotics, Mechatronics, Artificial Intelligence, Statistical Physics and Dynamical Systems