Evolutionary robotics

Husbands, Phil (2017) Evolutionary robotics. In: Sammut, Claude and Webb, Geoffrey I (eds.) Encyclopedia of machine learning and data mining. Springer, Berlin. ISBN 9781489976871

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Abstract

Evolutionary robotics uses evolutionary search methods to fully or partially design robotic systems, including their control systems and sometimes their morphologies and sensor/ actuator properties. Such methods are used in a range of ways from the fine-tuning or optimization of established designs to the creation of completely novel designs. There are many applications of evolutionary robotics from wheeled to legged to swimming to flying robots. A particularly active area is the use of evolutionary robotics to synthesize embodied models of complete agent behaviors in order to help explore and generate hypotheses in neurobiology and cognitive science.

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
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Depositing User: Phil Husbands
Date Deposited: 17 Oct 2018 11:39
Last Modified: 17 Oct 2018 11:39
URI: http://sro.sussex.ac.uk/id/eprint/79546
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