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
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: | https://doi.org/10.1049/ic:19960145 |