Vision-based Slip Detection

Vision-Based Slip Detection is a method within the domain of robotic tactile sensing that uniquely employs visual data from cameras or vision systems to identify and analyze slippage events by detecting motion patterns or deformations on object surfaces during manipulation.

63

Publications

2.9K

Citations

220

Authors

96

Institutions

Publications per year

2017–2026

29

Authors

220

  1. YI
    Yuji Ito

    The University of Tokyo, Japan

    4 publications · 109 citations

    4

    h-index

  2. GO
    Goro Obinata

    Nagoya University, Japan

    4 publications · 109 citations

    4

    h-index

  3. SD
    Siyuan Dong

    Massachusetts Institute of Technology, United States

    4 publications · 279 citations

    4

    h-index

  4. EH
    Edward H. Adelson

    Massachusetts Institute of Technology, United States

    2 publications · 169 citations

    2

    h-index

  5. AR
    Alberto Rodríguez

    Massachusetts Institute of Technology, United States

    2 publications · 110 citations

    2

    h-index

1–5 of 220

Venues

  1. Sensors

    5 publications · 224 citations

    5

    h-index

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

    Conference · 2 publications · 52 citations

    2

    h-index

  3. International Journal of Plasticity

    2 publications · 127 citations

    2

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 25 citations

    2

    h-index

  5. Mechatronics

    2 publications · 60 citations

    2

    h-index

1–5