Insect_inspired_view_based_navigation_exploiting_temporal_information.pdf (606.37 kB)
Insect inspired view based navigation exploiting temporal information
conference contribution
posted on 2023-06-09, 23:05 authored by Efstathios KagioulisEfstathios Kagioulis, Andy PhilippidesAndy Philippides, Paul GrahamPaul Graham, James KnightJames Knight, Thomas NowotnyThomas NowotnyVisual 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.
Funding
Brains on Board: Neuromorphic Control of Flying Robots; G1980; EPSRC-ENGINEERING & PHYSICAL SCIENCES RESEARCH COUNCIL; EP/P006094/1
History
Publication status
- Published
File Version
- Accepted version
Journal
Biomimetic and Biohybrid SystemsISSN
0302-9743Publisher
Springer NatureExternal DOI
Volume
12413Page range
204-216Event name
Living Machines 2020Event location
Freiburg, GermanyEvent type
conferenceEvent date
28-30 July 2020Place of publication
ChamISBN
9783030643126Series
Lecture Notes in Computer Science book seriesDepartment affiliated with
- Informatics Publications
Research groups affiliated with
- Centre for Computational Neuroscience and Robotics Publications
Full text available
- Yes
Peer reviewed?
- Yes
Editors
Falk Tauber, Paul F M J Verschure, Anna Mura, Tony J Prescott, Vasiliki Vouloutsi, Thomas SpeckLegacy Posted Date
2021-02-16First Open Access (FOA) Date
2021-12-24First Compliant Deposit (FCD) Date
2021-02-16Usage metrics
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