Robot Pose Estimation

Robot Pose Estimation is a computational method within robot localization that determines the position and orientation of a robot in a global reference frame by integrating sensor measurements and motion models to minimize estimation uncertainty.

2.1K

Publications

112.2K

Citations

5.4K

Authors

1.2K

Institutions

Publications per year

2017–2026

652

Authors

5.4K

  1. RS
    Roland Siegwart

    ETH Zurich, Switzerland

    28 publications · 1.9K citations

    24

    h-index

  2. SI
    Stergios I. Roumeliotis

    University of Minnesota, United States

    30 publications · 3.7K citations

    21

    h-index

  3. WB
    Wolfram Burgard

    University of Freiburg, Germany

    23 publications · 4.6K citations

    20

    h-index

  4. FD
    Frank Dellaert

    Georgia Institute of Technology, United States

    14 publications · 3.6K citations

    14

    h-index

  5. SH
    Shoudong Huang

    University of Technology Sydney, Australia

    15 publications · 863 citations

    13

    h-index

1–5 of 5.4K

Venues

  1. The International Journal of Robotics Research

    IJRR · 49 publications · 7.6K citations

    35

    h-index

  2. IEEE Transactions on Robotics

    45 publications · 4.9K citations

    33

    h-index

  3. IEEE Transactions on Robotics and Automation

    38 publications · 7.1K citations

    32

    h-index

  4. IEEE Robotics and Automation Letters

    50 publications · 2.1K citations

    28

    h-index

  5. Sensors

    58 publications · 1.8K citations

    26

    h-index

1–5