Model-based Visual Servoing

Model-Based Visual Servoing is a visual servoing approach that employs an explicit dynamic or geometric model of the robot and environment to predict and regulate motion, distinguishing itself from model-free methods by relying on prior knowledge encoded in the system’s analytical or learned model.

74

Publications

2.6K

Citations

191

Authors

101

Institutions

Publications per year

2017–2026

15

Variants

Mbvs

Authors

191

  1. FC
    François Chaumette

    Institut de Recherche en Informatique et Systèmes Aléatoires, France

    6 publications · 248 citations

    6

    h-index

  2. NP
    Nikolaos Papanikolopoulos

    University of Minnesota, United States

    3 publications · 68 citations

    3

    h-index

  3. ÉM
    Éric Marchand

    Institut de Recherche en Informatique et Systèmes Aléatoires, France

    3 publications · 117 citations

    3

    h-index

  4. GC
    George C. Karras

    National Technical University of Athens, Greece

    3 publications · 104 citations

    3

    h-index

  5. KJ
    Kostas J. Kyriakopoulos

    National Technical University of Athens, Greece

    3 publications · 104 citations

    3

    h-index

1–5 of 191

Venues

  1. IFAC Proceedings Volumes

    4 publications · 59 citations

    4

    h-index

  2. IEEE Transactions on Robotics

    3 publications · 98 citations

    3

    h-index

  3. 3

    h-index

  4. Control Engineering Practice

    3 publications · 182 citations

    3

    h-index

  5. Journal of the Franklin Institute

    2 publications · 39 citations

    2

    h-index

1–5