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

Authors

330

  1. WB
    Wolfram Burgard

    University of Freiburg, Germany

    7 publications · 2.3K citations

    7

    h-index

  2. JN
    José Neira

    Universidad de Zaragoza, Spain

    3 publications · 92 citations

    3

    h-index

  3. NA
    Naoki Akai

    Nagoya University, Japan

    3 publications · 67 citations

    3

    h-index

  4. AZ
    Andreas Zell

    University of Tübingen, Germany

    2 publications · 40 citations

    2

    h-index

  5. LM
    Luís Merino

    Universidad Pablo de Olavide, Spain

    2 publications · 54 citations

    2

    h-index

1–5 of 330

Venues

  1. Robotics and Autonomous Systems

    5 publications · 139 citations

    5

    h-index

  2. IEEE Robotics and Automation Letters

    3 publications · 160 citations

    3

    h-index

  3. IEEE/ASME Transactions on Mechatronics

    2 publications · 46 citations

    2

    h-index

  4. 2

    h-index

  5. Journal of Field Robotics

    JFR · 2 publications · 54 citations

    2

    h-index

1–5