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Insect inspired view based navigation exploiting temporal information

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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.

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 Systems

ISSN

0302-9743

Publisher

Springer Nature

Volume

12413

Page range

204-216

Event name

Living Machines 2020

Event location

Freiburg, Germany

Event type

conference

Event date

28-30 July 2020

Place of publication

Cham

ISBN

9783030643126

Series

Lecture Notes in Computer Science book series

Department 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 Speck

Legacy Posted Date

2021-02-16

First Open Access (FOA) Date

2021-12-24

First Compliant Deposit (FCD) Date

2021-02-16

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