Active Localization

Active Localization is a methodological framework within robotic perception that integrates sensor motion control with state estimation to actively reduce uncertainty in a robot's pose by strategically planning informative observations, distinguished from passive localization approaches through the deliberate selection of sensing actions to optimize localization performance.

152

Publications

8.2K

Citations

428

Authors

172

Institutions

Publications per year

2017–2026

44

Authors

428

  1. WB
    Wolfram Burgard

    University of Freiburg, Germany

    6 publications · 751 citations

    6

    h-index

  2. NA
    Nikolay Atanasov

    University of California San Diego, United States

    5 publications · 574 citations

    5

    h-index

  3. VI
    Volkan Isler

    University of Minnesota, United States

    5 publications · 112 citations

    5

    h-index

  4. SH
    Shoudong Huang

    University of Technology Sydney, Australia

    4 publications · 219 citations

    4

    h-index

  5. PT
    Pratap Tokekar

    University of Maryland, College Park, United States

    4 publications · 94 citations

    4

    h-index

1–5 of 428

Venues

  1. IEEE Robotics and Automation Letters

    7 publications · 192 citations

    7

    h-index

  2. IEEE Transactions on Robotics

    4 publications · 437 citations

    4

    h-index

  3. Autonomous Robots

    3 publications · 130 citations

    3

    h-index

  4. arXiv (Cornell University)

    Repository · 3 publications · 60 citations

    3

    h-index

  5. Journal of Intelligent & Robotic Systems

    3 publications · 71 citations

    3

    h-index

1–5