Feature-based Visual Servoing

Feature-Based Visual Servoing is a visual servoing approach that uses extracted image features, such as points, lines, or corners, as feedback signals to control the motion of a robot, distinguishing itself from direct (or appearance-based) methods by relying on geometrically interpretable and often reduced-dimensional representations of visual input.

154

Publications

12.5K

Citations

292

Authors

133

Institutions

Publications per year

2017–2026

29

Variants

Ibvs

Authors

292

  1. FC
    François Chaumette

    Institut de Recherche en Informatique et Systèmes Aléatoires, France

    28 publications · 2.9K citations

    22

    h-index

  2. ÉM
    Éric Marchand

    Institut de Recherche en Informatique et Systèmes Aléatoires, France

    12 publications · 658 citations

    12

    h-index

  3. KH
    Koichi Hashimoto

    Tohoku University, Japan

    9 publications · 272 citations

    9

    h-index

  4. OT
    Omar Tahri

    Institut national de recherche en sciences et technologies du numérique, France

    8 publications · 521 citations

    8

    h-index

  5. GO
    Giuseppe Oriolo

    Sapienza University of Rome, Italy

    7 publications · 441 citations

    7

    h-index

1–5 of 292

Venues

  1. IEEE Transactions on Robotics

    13 publications · 1.5K citations

    13

    h-index

  2. IEEE Transactions on Robotics and Automation

    7 publications · 4.5K citations

    7

    h-index

  3. IEEE Robotics and Automation Letters

    7 publications · 340 citations

    6

    h-index

  4. IEEE Transactions on Industrial Electronics

    4 publications · 293 citations

    4

    h-index

  5. The International Journal of Robotics Research

    IJRR · 3 publications · 290 citations

    3

    h-index

1–5