Prescott, T.J. (1996) Robot spatial learning: Insights from animal and human behaviour. In: Colloquium Digest- IEE. IEE Colloquium on Self Learning Robots, 12 Feb. 1996, London, UK. IEE
Abstract
Robotics research could benefit by looking for clues in the understanding of natural systems for the design of artificial systems. The literature on spatial learning suggests that there is a great diversity of solutions to the problem of learning and navigating a large-scale system. There are characteristic properties that extend across species that may be applicable for designing autonomous mobile robots. Natural navigation systems have a common trait relating to the use of multiple subsystems for the control of behavior and the exploitation of dynamic, quantitative representations of space.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 1996 The Institution of Electrical Engineers. This is an author produced version of a paper subsequently published in IEE Colloquium on Self Learning Robots. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > Department of Psychology (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 30 May 2017 09:57 |
Last Modified: | 29 Mar 2018 05:46 |
Published Version: | https://doi.org/10.1049/ic:19960145 |
Status: | Published |
Publisher: | IEE |
Refereed: | Yes |
Identification Number: | 10.1049/ic:19960145 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:114164 |