Robotic Localization Robustness
Robotic Localization Robustness is a metric that quantifies the ability of a robotic system to maintain accurate and consistent pose estimates in the presence of environmental disturbances, sensor noise, and model uncertainties, distinguishing it from general localization accuracy by emphasizing resilience to adverse or dynamic conditions.
106
Publications
5.5K
Citations
330
Authors
146
Institutions
Publications per year
2017–2026
33
Parents
106
Robust Monte Carlo localization for mobile robots
Sebastian Thrun, Dieter Fox, Wolfram Burgard et al. · Artificial Intelligence · 2001 · 1.8K citations
Global localization using distinctive visual features
Stephen Se, David Lowe, James J. Little · 2003 · 180 citations
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330
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146

University of Freiburg
Freiburg im Breisgau, Germany
7 h-index
20 publications
3.1K citations
Carnegie Mellon University
Pittsburgh, United States
6 h-index
13 publications
4.6K citations
Universidad de Zaragoza
Zaragoza, Spain
3 h-index
11 publications
364 citations
Nagoya University
Nagoya, Japan
3 h-index
5 publications
117 citations
INESC TEC
Porto, Portugal
3 h-index
12 publications
354 citations
The University of Tokyo
Tokyo, Japan
3 h-index
13 publications
370 citations
University of Bonn
Bonn, Germany
3 h-index
11 publications
571 citations

Universidad de Sevilla
Seville, Spain
3 h-index
5 publications
123 citations
1–8 of 146
5 publications · 139 citations
5
h-index
3 publications · 160 citations
3
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2 publications · 46 citations
2
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2 publications · 25 citations
2
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JFR · 2 publications · 54 citations
2
h-index
1–5