Visual Servo Grasping

Visual Servo Grasping is a robotic grasping method that uses real-time visual feedback to dynamically adjust and guide the gripper’s motion during object acquisition, distinguishing itself from open-loop or pre-planned grasping approaches by continuously integrating visual sensor data into the control loop.

23

Publications

737

Citations

94

Authors

44

Institutions

Publications per year

2017–2026

12

Authors

94

  1. FC
    François Chaumette

    Institut de Recherche en Informatique et Systèmes Aléatoires, France

    3 publications · 126 citations

    3

    h-index

  2. SZ
    Shuyou Zhang

    Zhejiang University, China

    2 publications · 68 citations

    2

    h-index

  3. ZH
    Zaixing He

    Zhejiang University, China

    2 publications · 68 citations

    2

    h-index

  4. XZ
    Xinyue Zhao

    Zhejiang University, China

    2 publications · 68 citations

    2

    h-index

  5. CW
    Chenrui Wu

    Zhejiang University, China

    2 publications · 68 citations

    2

    h-index

1–5 of 94

Venues

  1. IEEE Transactions on Industrial Electronics

    2 publications · 114 citations

    2

    h-index

  2. Journal of Intelligent & Robotic Systems

    1 publications · 17 citations

    1

    h-index

  3. Measurement Science and Technology

    1 publications · 21 citations

    1

    h-index

  4. 1

    h-index

  5. Robotics and Autonomous Systems

    1 publications · 36 citations

    1

    h-index

1–5