Fuzzy Visual Servoing

Fuzzy Visual Servoing is a visual servoing method that employs fuzzy logic to model uncertainties and nonlinearities in the vision-based control loop, thereby enabling robust robot motion regulation under imprecise or incomplete sensory data.

41

Publications

1.2K

Citations

107

Authors

46

Institutions

Publications per year

2017–2026

14

Authors

107

  1. HS
    Haobin Shi

    Northwestern Polytechnical University, China

    4 publications · 239 citations

    4

    h-index

  2. PC
    Pascual Campoy

    Universidad Politécnica de Madrid, Spain

    3 publications · 56 citations

    3

    h-index

  3. MA
    Miguel A. Olivares-Méndez

    University of Luxembourg, Luxembourg

    3 publications · 56 citations

    3

    h-index

  4. KH
    Kao‐Shing Hwang

    National Sun Yat-sen University, Taiwan

    3 publications · 127 citations

    3

    h-index

  5. XH
    Xinhan Huang

    Huazhong University of Science and Technology, China

    3 publications · 71 citations

    3

    h-index

1–5 of 107

Venues

  1. IEEE Transactions on Fuzzy Systems

    TFS · 5 publications · 223 citations

    6

    h-index

  2. International Journal of Advanced Robotic Systems

    ARS · 2 publications · 38 citations

    2

    h-index

  3. 2

    h-index

  4. 2

    h-index

  5. Society of Instrument and Control Engineers of Japan

    Conference · 2 publications · 21 citations

    2

    h-index

1–5