Evolutionary Robotics: Fundamentals and Applications

An embodied approach to artificial intelligence (AI), evolutionary robotics involves the creation of robots by the use of Darwinian concepts of natural selection during the design process. A behavioral goal can be used to guide the design of a robot or a subsystem of a robot, such as a neural controller. This design is then optimized. In most cases, designs are reviewed using computer simulations because it would be extremely expensive to physically fabricate thousands or millions of designs and test them in the actual world due to the amount of time, money, and risk involved.

How You Will Benefit

(I) Insights, and validations about the following topics:

Chapter 1: Evolutionary Robotics

Chapter 2: Evolutionary Algorithm

Chapter 3: Evolutionary Computation

Chapter 4: Neuroevolution

Chapter 5: Neuroevolution of Augmenting Topologies

Chapter 6: Evolvable Hardware

Chapter 7: Dario Floreano

Chapter 8: Stefano Nolfi

Chapter 9: HyperNEAT

Chapter 10: Evolutionary Developmental Robotics

(II) Answering the public top questions about evolutionary robotics.

(III) Real world examples for the usage of evolutionary robotics in many fields.

(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of evolutionary robotics' technologies.

Who This Book Is For

Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of evolutionary robotics.