This book examines how two distinct strands of research on autonomous robots, evolutionary robotics and humanoid robot research, are converging. The book will be valuable for researchers and postgraduate students working in the areas of evolutionary robotics and bio-inspired computing.
Introduction.- Evolutionary Algorithms and the Control of Systems.- Evolutionary Robotics (ER).- Humanoid Robots, Their Simulators, and the Reality Gap.- Evolutionary Humanoid Robotics (EHR).- The State of the Art in EHR.- Performance Evaluation and Benchmarking of Humanoid Robots.- Ethical, Philosophical and Moral Considerations.- Conclusions, and the Future.
[The book] sheds light at the intersection of evolutionary searchand robotics, with a special focus on humanoid or human-like robots. It is askill to hit the right spot between introducing newcomers to a concept whilealso informing researchers already in the field. [The author] manages to do justthat by delivering a nice flowing, quick to read book. ... I can recommend thisbook to starting graduate students in the fields of computer science and/orrobotics, or researchers looking to get started with evolutionary robotics. ...The books gaze is on humanoid robotics and Eaton does a good job at definingthe terminology ... describing the various graduations of distinction betweenevolutionary robotics and evolutionary humanoid robotics, thus leading thereader to a more fundamental understanding of the levels of humanoid robots. ...a well-written, thoroughly researched introduction ... a wonderful guide forfinding relevant references in the field. I highly recommend it for youngresearchers starting out in the field of EHR [and] people interested in thegeneral idea of evolving robotic systems, both for humanoids and non-humanoidrobots. [J?rgen Leitner, Genetic Programming and Evolvable Machines, 2015,DOI 10.1007/s10710-015-9256-2]
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