Vision-based Control

Vision-Based Control is a control methodology in soft robotics that uses visual feedback as the primary sensory input to guide and adjust the robot’s motions and interactions with its environment.

962

Publications

41.4K

Citations

2.7K

Authors

770

Institutions

Publications per year

2017–2026

217

Authors

2.7K

  1. HW
    Hesheng Wang

    Shanghai Jiao Tong University, China

    22 publications · 1.2K citations

    19

    h-index

  2. PM
    Philippe Martinet

    Centre National de la Recherche Scientifique, France

    19 publications · 585 citations

    16

    h-index

  3. WC
    Weidong Chen

    Shanghai Jiao Tong University, China

    17 publications · 1K citations

    16

    h-index

  4. GD
    Gregory D. Hager

    Johns Hopkins University, United States

    14 publications · 1.1K citations

    13

    h-index

  5. MI
    Masatoshi Ishikawa

    The University of Tokyo, Japan

    11 publications · 295 citations

    11

    h-index

1–5 of 2.7K

Venues

  1. IEEE Transactions on Robotics

    19 publications · 1.9K citations

    17

    h-index

  2. Robotics and Autonomous Systems

    18 publications · 1.1K citations

    17

    h-index

  3. IEEE/ASME Transactions on Mechatronics

    13 publications · 882 citations

    13

    h-index

  4. Journal of Intelligent & Robotic Systems

    14 publications · 490 citations

    13

    h-index

  5. IEEE Transactions on Industrial Electronics

    13 publications · 866 citations

    13

    h-index

1–5