Visual Teach-and-repeat Navigation
Visual Teach-And-Repeat Navigation is a visual navigation framework that enables a robot to autonomously retrace a previously demonstrated route in an environment using only camera inputs, distinguished by its reliance on visual memory of a taught trajectory without requiring explicit metric maps or external localization systems.
26
Publications
1K
Citations
64
Authors
21
Institutions
Publications per year
2017–2026
14
Variants
Teach-and-repeat Navigation
Parents
26
1–5 of 26
64
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21

University of Toronto
Toronto, Canada
12 h-index
39 publications
1.8K citations
University of Oxford
Oxford, United Kingdom
5 h-index
11 publications
271 citations

Czech Technical University in Prague
Prague, Czechia
4 h-index
22 publications
460 citations
ETH Zurich
Zurich, Switzerland
3 h-index
3 publications
69 citations

University of Nottingham
Nottingham, United Kingdom
2 h-index
2 publications
79 citations
Memorial University of Newfoundland
St. John's, Canada
2 h-index
7 publications
177 citations
Robotics Research (United States)
Cincinnati, United States
2 h-index
2 publications
52 citations
Chemnitz University of Technology
Chemnitz, Germany
1 h-index
1 publications
59 citations
1–8 of 21
JFR · 4 publications · 339 citations
4
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3 publications · 101 citations
3
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2 publications · 50 citations
2
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1 publications · 96 citations
1
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1 publications · 59 citations
1
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