Image-based Visual Servoing

Image-Based Visual Servoing is a visual servoing approach that directly uses image feature errors as feedback signals to control the motion of a robot, distinguishing itself from position-based methods by operating entirely in the image space without reconstructing the 3D scene.

579

Publications

35.5K

Citations

1.1K

Authors

416

Institutions

Publications per year

2017–2026

155

Variants

Ibvs

Authors

1.1K

  1. FC
    François Chaumette

    Institut de Recherche en Informatique et Systèmes Aléatoires, France

    50 publications · 8.9K citations

    31

    h-index

  2. TH
    Tarek Hamel

    Centre National de la Recherche Scientifique, France

    25 publications · 1.7K citations

    19

    h-index

  3. HW
    Hesheng Wang

    Shanghai Jiao Tong University, China

    22 publications · 1.3K citations

    17

    h-index

  4. ÉM
    Éric Marchand

    Institut de Recherche en Informatique et Systèmes Aléatoires, France

    18 publications · 1.4K citations

    17

    h-index

  5. PC
    Peter Corke

    Queensland University of Technology, Australia

    20 publications · 4.7K citations

    17

    h-index

1–5 of 1.1K

Venues

  1. IEEE Transactions on Robotics

    33 publications · 3.8K citations

    26

    h-index

  2. IEEE/ASME Transactions on Mechatronics

    19 publications · 1.7K citations

    18

    h-index

  3. IEEE Transactions on Industrial Electronics

    15 publications · 1.1K citations

    15

    h-index

  4. The International Journal of Robotics Research

    IJRR · 16 publications · 1K citations

    15

    h-index

  5. IEEE Transactions on Robotics and Automation

    12 publications · 7.7K citations

    12

    h-index

1–5