Chapter 1 Evolutionary Robotics: Exploring New Horizons

Chapter 2 The ‘What’, ‘How’ and the ‘Why’ of Evolutionary Robotics

Chapter 3 Why Evolutionary Robotics Will Matter

Chapter 4 Evolutionary Algorithms in the Design of Complex Robotic Systems

Chapter 5 Evolving Monolithic Robot Controllers through Incremental Shaping

Chapter 6 Evolutionary Algorithms to Analyse and Design a Controller for a Flapping Wings Aircraft

Chapter 7 On Applying Neuroevolutionary Methods to Complex Robotic Tasks

Chapter 8 Evolutionary Design of a Robotic Manipulator for a Highly Constrained Environment

Chapter 9 A Multi-cellular Based Self-organizing Approach for Distributed Multi-Robot Systems

Chapter 10 Novelty-Based Multiobjectivization

Chapter 11 Embedded Evolutionary Robotics: The (1+1)-Restart-Online Adaptation Algorithm

Chapter 12 Automated Planning Logic Synthesis for Autonomous Unmanned Vehicles in Competitive Environments with Deceptive Adversaries

Chapter 13 Major Feedback Loops Supporting Artificial Evolution in Multi-modular Robotics