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Artificial Neural Systems for Robots

Artificial Neural Systems for Robots

Phil Husbands, Andy Philippides, Anil K. Seth
Copyright: © 2011 |Pages: 35
ISBN13: 9781609600211|ISBN10: 1609600215|EISBN13: 9781609600235
DOI: 10.4018/978-1-60960-021-1.ch010
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MLA

Husbands, Phil, et al. "Artificial Neural Systems for Robots." Computational Neuroscience for Advancing Artificial Intelligence: Models, Methods and Applications, edited by Eduardo Alonso and Esther Mondragón, IGI Global, 2011, pp. 214-248. https://doi.org/10.4018/978-1-60960-021-1.ch010

APA

Husbands, P., Philippides, A., & Seth, A. K. (2011). Artificial Neural Systems for Robots. In E. Alonso & E. Mondragón (Eds.), Computational Neuroscience for Advancing Artificial Intelligence: Models, Methods and Applications (pp. 214-248). IGI Global. https://doi.org/10.4018/978-1-60960-021-1.ch010

Chicago

Husbands, Phil, Andy Philippides, and Anil K. Seth. "Artificial Neural Systems for Robots." In Computational Neuroscience for Advancing Artificial Intelligence: Models, Methods and Applications, edited by Eduardo Alonso and Esther Mondragón, 214-248. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-60960-021-1.ch010

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Abstract

This chapter reviews the use of neural systems in robotics, with particular emphasis on strongly biologically inspired neural networks and methods. As well as describing work at the research frontiers, the paper provides some historical background in order to clarify the motivations and scope of work in this field. There are two major sections that make up the bulk of the chapter: one surveying the application of artificial neural systems to robot control, and one describing the use of robots as tools in neuroscience. The former concentrates on biologically derived neural architectures and methods used to drive robot behaviours, and the latter introduces a closely related area of research where robotic models are used as tools to study neural mechanisms underlying the generation of adaptive behaviour in animals and humans.

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