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

[img] PDF - Published Version
Restricted to SRO admin only

Download (493kB)

Abstract

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
URI: http://sro.sussex.ac.uk/id/eprint/69423

View download statistics for this item

📧 Request an update