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This volume collects the most significant results of the European research Project called "SPARK", whose aim was to develop new cognitive architectures and new sensing-perceiving-moving artefacts, inspired by the basic principles of living systems and based on the concept of "self-organization" in complex systems generating spatial temporal patterns. The book is organized in three parts. Part I "Principles of insect perception" reports a thorough survey of the state of the art in perception for action. The central Part II "Cognitive Models" describes new approaches to attain high cognitive capabilities in roving robots, for which detailed Structures are still lacking, even referring to insect brain. Some of the models introduced rely on the insect-inspired parallel sensory-motor pathways, others exploit the emergence Spatial-temporal Patterns (used as perceptual states) arising in non linear Reaction-Diffusion Equations, some others build upon the neural networks modelling Stick Insect locomotion. The last part of the book Part III "Software/Hardware cognitive architecture and experiments" is related to the implementation of the proposed cognitive models on a software /hardware FPGA-based architecture embedded on wheeled and legged robots. Multimedia material, related to the experiments presented in the book, is available on the SPARK web page: www.spark.diees.unict.it.

Autonomous robots. --- Conscious automata. --- Robot vision. --- Space perception. --- Robot vision --- Autonomous robots --- Conscious automata --- Space perception --- Mechanical Engineering - General --- Civil Engineering --- Mechanical Engineering --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Perception. --- Cognition. --- Supraliminal perception --- Engineering. --- Artificial intelligence. --- Statistical physics. --- Dynamical systems. --- Vibration. --- Dynamics. --- Control engineering. --- Robotics. --- Mechatronics. --- Automation. --- Vibration, Dynamical Systems, Control. --- Robotics and Automation. --- Statistical Physics, Dynamical Systems and Complexity. --- Control, Robotics, Mechatronics. --- Artificial Intelligence (incl. Robotics). --- Psychology --- Cognition --- Apperception --- Senses and sensation --- Thought and thinking --- Complex Systems. --- Artificial Intelligence. --- Statistical Physics and Dynamical Systems. --- Cycles --- Mechanics --- Sound --- Physics --- Mathematical statistics --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Statistical methods --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Automation --- Programmable controllers --- Automatic factories --- Automatic production --- Computer control --- Engineering cybernetics --- Factories --- Industrial engineering --- Mechanization --- Assembly-line methods --- Automatic control --- Automatic machinery --- CAD/CAM systems --- Robotics --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Statics

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This volume is a special Issue on "Dynamical Systems, Wave based computation and neuro inspired robots' based on a Course carried out at the CISM in Udine (Italy), the last week of September, 2003. From the topics treated within that Course, several new ideas were f- mulated, which led to a new kind of approach to locomotion and p- ception, grounded both on biologically inspired issues and on nonlinear dynamics. The Course was characterised by a high degree of multi disciplinarity. In fact, in order to conceive, design and build neuro inspired machines, it is necessary to deeply scan into different d- ciplines, including neuroscience. Artificial Intelligence, Biorobotics, Dynamical Systems theory and Electronics. New types of moving machines should be more closely related to the biological rules, not discarding the real implementation issues. The recipe has to include neurobiological paradigms as well as behavioral aspects from the one hand, new circuit paradigms, able of real time control of multi joint robots on the other hand. These new circuit paradigms are based on the theory of complex nonlinear dynamical systems, where aggregates of simple non linear units into ensembles of lattices, have the pr- erty that the solution set is much richer than that one shown by the single units. As a consequence, new solutions 'emerge' which are often characterized by order and harmony.

Electronics --- elektronica

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This book guides readers along a path that proceeds from neurobiology to nonlinear-dynamical circuits, to nonlinear neuro-controllers and to bio-inspired robots. It provides a concise exploration of the essence of neural processing in simple animal brains and its adaptation and extrapolation to modeling, implementation, and realization of the analogous emergent features in artificial but bio-inspired robots: an emerging research field. The book starts with a short presentation of the main areas of the Drosophila brain. These are modeled as nonlinear dynamical structures, which are then used to showcase key features like locomotion, motor learning, memory formation, and exploitation. It also discusses additional complex behaviors, such as sequence learning and perception, which have recently been discovered to exist in insects. Much of the material presented has been tested in biorobotics classes for the Master’s degree in Automation Engineering and Control of Complex Systems at the University of Catania.  Reporting on the work fostered by several national and international research projects, the book offers researchers novel ideas on how neuro-inspired dynamics can be used in developing the autonomous machines of the future.

Engineering. --- Neurobiology. --- Information theory. --- Control engineering. --- Robotics. --- Mechatronics. --- Electronic circuits. --- Circuits and Systems. --- Information and Communication, Circuits. --- Control, Robotics, Mechatronics. --- Electron-tube circuits --- Electric circuits --- Electron tubes --- Electronics --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems --- Automation --- Machine theory --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers --- Communication theory --- Communication --- Cybernetics --- Neurosciences --- Construction --- Industrial arts --- Technology --- Electric circuits, Nonlinear. --- Robots. --- Automata --- Automatons --- Manipulators (Mechanism) --- Robotics --- Mecha (Vehicles) --- Nonlinear electric circuits --- Systems engineering. --- Mathematics. --- Math --- Science --- Engineering systems --- System engineering --- Engineering --- Industrial engineering --- System analysis --- Design and construction

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This volume collects the most significant results of the European research Project called "SPARK", whose aim was to develop new cognitive architectures and new sensing-perceiving-moving artefacts, inspired by the basic principles of living systems and based on the concept of "self-organization" in complex systems generating spatial temporal patterns. The book is organized in three parts. Part I "Principles of insect perception" reports a thorough survey of the state of the art in perception for action. The central Part II "Cognitive Models" describes new approaches to attain high cognitive capabilities in roving robots, for which detailed Structures are still lacking, even referring to insect brain. Some of the models introduced rely on the insect-inspired parallel sensory-motor pathways, others exploit the emergence Spatial-temporal Patterns (used as perceptual states) arising in non linear Reaction-Diffusion Equations, some others build upon the neural networks modelling Stick Insect locomotion. The last part of the book Part III "Software/Hardware cognitive architecture and experiments" is related to the implementation of the proposed cognitive models on a software /hardware FPGA-based architecture embedded on wheeled and legged robots. Multimedia material, related to the experiments presented in the book, is available on the SPARK web page: www.spark.diees.unict.it

Classical mechanics. Field theory --- Engineering sciences. Technology --- Computer science --- Artificial intelligence. Robotics. Simulation. Graphics --- mechatronica --- informatica --- robots --- dynamica

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Electronics --- elektronica