Spatial Temporal Patterns for Action-Oriented Perception in Roving Robots

1. Front Matter

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2. Systems

   1. Front Matter

      Pages 1-1

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   2. Perception for Action in Insects

      • B. Webb, J. Wessnitzer

      Pages 3-42

   3. Principles of Insect Locomotion

      • H. Cruse, V. Dürr, M. Schilling, J. Schmitz

      Pages 43-96

   4. Low Level Approaches to Cognitive Control

      • B. Webb, J. Wessnitzer, H. Rosano, M. Szenher, M. Zampoglou, T. Haferlach et al.

      Pages 97-175

3. Cognitive Models

   1. Front Matter

      Pages 177-177

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   2. A Bottom-Up Approach for Cognitive Control

      • H. Cruse, V. Dürr, M. Schilling, J. Schmitz

      Pages 179-218

   3. Mathematical Approach to Sensory Motor Control and Memory

      • M. G. Velarde, V. A. Makarov, N. P. Castellanos, Y. L. Song, D. Lombardo

      Pages 219-268

   4. From Low to High Level Approach to Cognitive Control

      • P. Arena, S. De Fiore, M. Frasca, D. Lombardo, L. Patané

      Pages 269-308

   5. Complex Systems and Perception

      • P. Arena, D. Lombardo, L. Patané

      Pages 309-347

4. Software/Hardware Cognitive Architecture and Experiments

   1. Front Matter

      Pages 349-349

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   2. New Visual Sensors and Processors

      • L. Alba, R. Domínguez Castro, F. Jiménez-Garrido, S. Espejo, S. Morillas, J. Listán et al.

      Pages 351-369

   3. Visual Algorithms for Cognition

      • Á. Zarándy, Cs. Rekeczky

      Pages 371-384

   4. SPARK Hardware

      • L. Alba, P. Arena, S. De Fiore, L. Patané

      Pages 385-397

   5. Robotic Platforms and Experiments

      • P. Arena, S. De Fiore, D. Lombardo, L. Patané

      Pages 399-422

5. Back Matter

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The basic principles guiding sensing, perception and action in bio systems seem to rely on highly organised spatial-temporal dynamics. In fact, all biological senses, (visual, hearing, tactile, etc.) process signals coming from different parts distributed in space and also show a complex time evolution. As an example, mammalian retina performs a parallel representation of the visual world embodied into layers, each of which r- resents a particular detail of the scene. These results clearly state that visual perception starts at the level of the retina, and is not related uniquely to the higher brain centres. Although vision remains the most useful sense guiding usual actions, the other senses, ?rst of all hearing but also touch, become essential particularly in cluttered conditions, where visual percepts are somehow obscured by environment conditions. Ef?cient use of hearing can be learnt from acoustic perception in animals/insects, like crickets, that use this ancient sense more than all the others, to perform a vital function, like mating.

• Biologically Inspired Robots
• Cognitive Architecture
• FPGA-based Hardware
• Insect Perception
• Robot Perception
• Roving Robots
• Sensory-motor Coordination
• robot
• sensing

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)

• Università di Catania, Catania, Italy

  Paolo Arena, Luca Patanè

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