Computer Vision For Robotics

Computer Vision for Robotics is a specialized field of computer vision that focuses on enabling robotic systems to perceive, interpret, and interact with their environments through the acquisition and analysis of visual data, distinguished by its integration of visual understanding with real-time decision-making, sensorimotor control, and embodied action in physical or simulated environments.

945

Publications

42K

Citations

2.7K

Authors

749

Institutions

Publications per year

2017–2026

221

Authors

2.7K

  1. MI
    Masayuki Inaba

    The University of Tokyo, Japan

    15 publications · 788 citations

    15

    h-index

  2. HI
    H. Inoue

    The University of Tokyo, Japan

    13 publications · 736 citations

    13

    h-index

  3. PC
    Peter Corke

    Queensland University of Technology, Australia

    8 publications · 1.5K citations

    8

    h-index

  4. GM
    Giorgio Metta

    Italian Institute of Technology, Italy

    7 publications · 185 citations

    7

    h-index

  5. MI
    Masatoshi Ishikawa

    The University of Tokyo, Japan

    6 publications · 170 citations

    6

    h-index

1–5 of 2.7K

Venues

  1. Sensors

    17 publications · 420 citations

    14

    h-index

  2. 13

    h-index

  3. Computer

    11 publications · 357 citations

    11

    h-index

  4. IEEE Robotics & Automation Magazine

    11 publications · 925 citations

    11

    h-index

  5. IEEE Transactions on Robotics and Automation

    9 publications · 937 citations

    9

    h-index

1–5