How active vision facilitates familiarity-based homing

Philippides, Andrew, Dewar, Alexander, Wystrach, Antoine, Mangan, Michael and Graham, Paul (2013) How active vision facilitates familiarity-based homing. Published in: Lepora, Nathan F, Mura, Anna, Krapp, Holger G, Verschure, Paul F M J, Prescott, Tony J and Unset, (eds.) Proceedings of the Second International Conference on Living Machines 2013: Biomimetic and Biohybrid Systems; London, UK; 29 July – 2 August 2013. 8064 427-430. Springer Verlag, Heidelberg. ISSN 1611-3349 ISBN 9783642398018

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The ability of insects to visually navigate long routes to their nest has provided inspiration to engineers seeking to emulate their robust performance with limited resources [1-2]. Many models have been developed based on the elegant snapshot idea: remember what the world looks like from your goal and subsequently move to make your current view more like your memory [3]. In the majority of these models, a single view is stored at a goal location and acts as a form of visual attractor to that position (for review see [4]). Recently however, inspired by the behaviour of ants and the difficulties in extending traditional snapshot models to routes [5], we have proposed a new navigation model [6-7]. In this model, rather than using views to recall directions to the place that they were stored, views are used to recall the direction of facing or movement (identical for a forward-facing ant) at the place the view was stored. To navigate, the agent scans the world by rotating and thus actively finds the most familiar view, a behavior observed in Australian desert ants. Rather than recognise a place, the action to take at that place is specified by a familiar view.

Item Type: Conference Proceedings
Schools and Departments: School of Engineering and Informatics > Informatics
School of Life Sciences > Evolution, Behaviour and Environment
Depositing User: Alexander David McDonald Dewar
Date Deposited: 24 Jul 2017 14:16
Last Modified: 24 Jul 2017 14:16

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