Normal Force Estimation

Normal Force Estimation is a method in tactile sensing and robotic manipulation that determines the perpendicular force component at the contact interface between a robotic gripper and an object, enabling accurate prediction of incipient slippage by distinguishing frictional constraints from tangential force variations.

179

Publications

7.9K

Citations

521

Authors

212

Institutions

Publications per year

2017–2026

33

Authors

521

  1. SA
    Stephen A. Mascaro

    University of Utah, United States

    3 publications · 69 citations

    3

    h-index

  2. JM
    John M. Hollerbach

    University of Utah, United States

    3 publications · 69 citations

    3

    h-index

  3. HL
    Hongbin Liu

    King's College London, United Kingdom

    3 publications · 49 citations

    3

    h-index

  4. JB
    Junghwan Back

    King's College London, United Kingdom

    3 publications · 49 citations

    3

    h-index

  5. TJ
    Thomas J. Armstrong

    University of Michigan, United States

    2 publications · 193 citations

    2

    h-index

1–5 of 521

Venues

  1. IEEE Transactions on Magnetics

    6 publications · 128 citations

    6

    h-index

  2. IEEE Robotics and Automation Letters

    4 publications · 95 citations

    4

    h-index

  3. Wear

    4 publications · 161 citations

    4

    h-index

  4. Rheologica Acta

    3 publications · 93 citations

    3

    h-index

  5. IEEE Transactions on Robotics

    3 publications · 89 citations

    3

    h-index

1–5