Fast and Robust Teach-and-Repeat Navigation Using MixVPR Visual Place Recognition
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F25%3A00385752" target="_blank" >RIV/68407700:21730/25:00385752 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/ECMR65884.2025.11163381" target="_blank" >https://doi.org/10.1109/ECMR65884.2025.11163381</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ECMR65884.2025.11163381" target="_blank" >10.1109/ECMR65884.2025.11163381</a>
Alternative languages
Result language
angličtina
Original language name
Fast and Robust Teach-and-Repeat Navigation Using MixVPR Visual Place Recognition
Original language description
Teach-and-repeat navigation systems employing advanced visual place recognition techniques for localization exhibit key attributes for long-term mobile robot navigation, such as the ability to operate in unstructured and dynamic environments. However, existing solutions based on deep-learning techniques have high computational requirements, limiting their applicability. This work introduces a novel and efficient teachand- repeat system built on the modern visual place recognition method MixVPR. Real-world testing demonstrated its ability to operate both indoors and outdoors, achieving robustness and navigation precision comparable to other state-of-the-art systems. In addition, its lower hardware requirements make it suitable for a wide range of robotic platforms and practical applications.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20204 - Robotics and automatic control
Result continuities
Project
<a href="/en/project/EH22_008%2F0004590" target="_blank" >EH22_008/0004590: Robotics and advanced industrial production</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2025 European Conference on Mobile Robots Conference Proceedings
ISBN
979-8-3315-2705-1
ISSN
2639-7919
e-ISSN
2767-8733
Number of pages
6
Pages from-to
1-6
Publisher name
IEEE
Place of publication
—
Event location
Padua
Event date
Sep 2, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001592487100090