Visual-tactile Fusion

Visual-Tactile Fusion is a computational framework that integrates visual and tactile sensory inputs into a unified representation to enhance perception and manipulation capabilities in robotic systems.

201

Publications

12.1K

Citations

636

Authors

256

Institutions

Publications per year

2017–2026

91

Authors

636

  1. FS
    Fuchun Sun

    Tsinghua University, China

    15 publications · 667 citations

    14

    h-index

  2. HL
    Huaping Liu

    Tsinghua University, China

    10 publications · 561 citations

    10

    h-index

  3. WY
    Wenzhen Yuan

    Carnegie Mellon University, United States

    8 publications · 549 citations

    8

    h-index

  4. BF
    Bin Fang

    Tsinghua University, China

    7 publications · 183 citations

    7

    h-index

  5. MI
    Masatoshi Ishikawa

    The University of Tokyo, Japan

    6 publications · 170 citations

    6

    h-index

1–5 of 636

Venues

  1. IEEE Robotics and Automation Letters

    11 publications · 395 citations

    10

    h-index

  2. 2022 International Conference on Robotics and Automation (ICRA)

    Conference · 4 publications · 129 citations

    4

    h-index

  3. IEEE Transactions on Robotics

    4 publications · 155 citations

    4

    h-index

  4. Nature Communications

    3 publications · 608 citations

    3

    h-index

  5. IEEE Transactions on Industrial Electronics

    3 publications · 182 citations

    3

    h-index

1–5