Slip Prediction

Slip Prediction is a computational method that anticipates the likelihood of unintended slippage between a robotic gripper and an object during manipulation by analyzing sensory data prior to the occurrence of actual slip.

104

Publications

5.7K

Citations

283

Authors

159

Institutions

Publications per year

2017–2026

31

Authors

283

  1. LM
    Larry Matthies

    Jet Propulsion Laboratory, United States

    5 publications · 402 citations

    5

    h-index

  2. DH
    Daniel Helmick

    Jet Propulsion Laboratory, United States

    5 publications · 402 citations

    5

    h-index

  3. AA
    Anelia Angelova

    Google (United States), United States

    5 publications · 402 citations

    5

    h-index

  4. KE
    Kurt E. Beschorner

    University of Pittsburgh, United States

    4 publications · 243 citations

    4

    h-index

  5. MS
    Mark S. Redfern

    University of Pittsburgh, United States

    3 publications · 143 citations

    3

    h-index

1–5 of 283

Venues

  1. Applied Ergonomics

    3 publications · 205 citations

    3

    h-index

  2. Physical Review E

    PRE · 2 publications · 128 citations

    2

    h-index

  3. Tribology Letters

    2 publications · 168 citations

    2

    h-index

  4. The Physics of Fluids

    2 publications · 224 citations

    2

    h-index

  5. IEEE Transactions on Haptics

    2 publications · 114 citations

    2

    h-index

1–5