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New Horizons in Evolutionary Robotics

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Cover of 'New Horizons in Evolutionary Robotics'

Table of Contents

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    Book Overview
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    Chapter 1 Evolutionary Robotics: Exploring New Horizons
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    Chapter 2 The ‘What’, ‘How’ and the ‘Why’ of Evolutionary Robotics
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    Chapter 3 Why Evolutionary Robotics Will Matter
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    Chapter 4 Evolutionary Algorithms in the Design of Complex Robotic Systems
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    Chapter 5 Evolving Monolithic Robot Controllers through Incremental Shaping
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    Chapter 6 Evolutionary Algorithms to Analyse and Design a Controller for a Flapping Wings Aircraft
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    Chapter 7 On Applying Neuroevolutionary Methods to Complex Robotic Tasks
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    Chapter 8 Evolutionary Design of a Robotic Manipulator for a Highly Constrained Environment
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    Chapter 9 A Multi-cellular Based Self-organizing Approach for Distributed Multi-Robot Systems
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    Chapter 10 Novelty-Based Multiobjectivization
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    Chapter 11 Embedded Evolutionary Robotics: The (1+1)-Restart-Online Adaptation Algorithm
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    Chapter 12 Automated Planning Logic Synthesis for Autonomous Unmanned Vehicles in Competitive Environments with Deceptive Adversaries
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    Chapter 13 Major Feedback Loops Supporting Artificial Evolution in Multi-modular Robotics
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    Chapter 14 Evolutionary Design and Assembly Planning for Stochastic Modular Robots
Attention for Chapter 4: Evolutionary Algorithms in the Design of Complex Robotic Systems
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