How active vision facilitates familiarity-based homing

Andrew Philippides, Alex Dewar, Antoine Wystrach, Michael Mangan, Paul Graham

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 behaviour observed in Australian desert ants. Rather than recognise a place, the action to take at that place is specified by a familiar view.
Original languageEnglish
Title of host publicationBiomimetic and Biohybrid Systems
Subtitle of host publicationSecond International Conference, Living Machines 2013, London, UK, July 29 – August 2, 2013. Proceedings
PublisherSpringer Berlin Heidelberg
Pages427-430
Number of pages4
ISBN (Electronic)978-3-642-39802-5
ISBN (Print)978-3-642-39801-8
DOIs
Publication statusPublished - 2013

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Berlin Heidelberg
Volume8064
ISSN (Print)0302-9743

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