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Evolutionary Robotics

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Encyclopedia of Machine Learning and Data Mining

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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.

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Author information

Authors and Affiliations

  1. Department of Informatics, Centre for Computational Neuroscience and Robotics, University of Sussex, Brighton, UK

    Phil Husbands

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  1. Phil Husbands
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Correspondence to Phil Husbands .

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Editors and Affiliations

  1. The University of New South Wales, Sydney, NSW, Australia

    Claude Sammut

  2. Faculty of Information Technology, Monash University, Melbourne, VIC, Australia

    Geoffrey I. Webb

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Husbands, P. (2017). Evolutionary Robotics. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning and Data Mining. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7687-1_94

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