Insect inspired view based navigation exploiting temporal information

Kagioulis, Efstathios, Philippides, Andrew, Graham, Paul, Knight, James C and Nowotny, Thomas (2020) Insect inspired view based navigation exploiting temporal information. Living Machines 2020, Freiburg, Germany, 28-30 July 2020. Published in: Vouloutsi, Vasiliki, Mura, Anna, Tauber, Falk, Speck, Thomas, Prescott, Tony J and Verschure, Paul F M J, (eds.) Biomimetic and Biohybrid Systems. 12413 204-216. Springer Nature, Cham. ISSN 0302-9743 ISBN 9783030643126

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Abstract

Visual navigation is a key capability for robots. There is a family of insect-inspired algorithms that use panoramic images encountered during a training route to derive directional information from regions around the training route and thus subsequently visually navigate. As these algorithms do not incorporate information about the temporal order of training images, we describe one way this could be done to highlight this information’s utility. We benchmark our algorithms in a simulation of a real world environment and show that incorporating temporal information improves performance and reduces algorithmic complexity.

Item Type: Conference Proceedings
Keywords: Biomimetics
Schools and Departments: School of Engineering and Informatics > Informatics
School of Life Sciences > Evolution, Behaviour and Environment
Research Centres and Groups: Centre for Computational Neuroscience and Robotics
SWORD Depositor: Mx Elements Account
Depositing User: Mx Elements Account
Date Deposited: 16 Feb 2021 08:48
Last Modified: 28 Feb 2022 12:23
URI: http://sro.sussex.ac.uk/id/eprint/97180

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Project NameSussex Project NumberFunderFunder Ref
Brains on Board: Neuromorphic Control of Flying RobotsG1980EPSRC-ENGINEERING & PHYSICAL SCIENCES RESEARCH COUNCILEP/P006094/1