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Bio-Inspired Self-Organizing Robotic Systems

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Cover of 'Bio-Inspired Self-Organizing Robotic Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Morphogenetic Robotics - An Evolutionary Developmental Approach to Morphological and Neural Self-Organization of Robotic Systems
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    Chapter 2 How to Engineer Robotic Organisms and Swarms?
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    Chapter 3 Flocking Control Algorithms for Multiple Agents in Cluttered and Noisy Environments
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    Chapter 4 Genetic Stigmergy
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    Chapter 5 From Ants to Robots and Back: How Robotics Can Contribute to the Study of Collective Animal Behavior
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    Chapter 6 On Self-Optimized Self-Assembling of Heterogeneous Multi-robot Organisms
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    Chapter 7 Morphogenetic Self-Reconfiguration of Modular Robots
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    Chapter 8 Basic Problems in Self-Assembling Robots and a Case Study of Segregation on Tribolon Platform
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    Chapter 9 Brain Like Temporal Processing
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    Chapter 10 Towards Physarum Robots
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    Chapter 11 Developing Self-Organizing Robotic Cells Using Organic Computing Principles
Attention for Chapter 10: Towards Physarum Robots
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