Nolfi, Stefano, Bongard, Josh, Husbands, Phil and Floreano, Dario (2016) Evolutionary robotics. In: Siciliano, B and Khatib, O (eds.) Springer handbook of robotics, 2nd Ed. Springer, Cham, pp. 2035-2067. ISBN 9783319325507

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Abstract

Evolutionary Robotics is a method for automatically generating artificial brains and morphologies of autonomous robots. This approach is useful both for investigating the design space of robotic applications and for testing scientific hypotheses of biological mechanisms and processes. In this chapter we provide an overview of methods and results of Evolutionary Robotics with robots of different shapes, dimensions, and operation features. We consider both simulated and physical robots with special consideration to the transfer between the two worlds.

Item Type:	Book Section
Schools and Departments:	School of Engineering and Informatics > Informatics
Research Centres and Groups:	Centre for Computational Neuroscience and Robotics
Subjects:	Q Science > QA Mathematics > QA0075 Electronic computers. Computer science T Technology > TJ Mechanical engineering and machinery
Depositing User:	Phil Husbands
Date Deposited:	17 Oct 2018 11:32
Last Modified:	17 Oct 2018 11:32
URI:	http://sro.sussex.ac.uk/id/eprint/79545

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