Slip Estimation

Slip Estimation is a computational method within robotic terrain traversal that quantifies the discrepancy between expected and actual motion to infer the degree of slippage experienced by a robot during locomotion.

253

Publications

11.5K

Citations

743

Authors

283

Institutions

Publications per year

2017–2026

74

Authors

743

  1. KI
    Karl Iagnemma

    Massachusetts Institute of Technology, United States

    8 publications · 481 citations

    8

    h-index

  2. DH
    Daniel Helmick

    Jet Propulsion Laboratory, United States

    7 publications · 558 citations

    7

    h-index

  3. LM
    Larry Matthies

    Jet Propulsion Laboratory, United States

    7 publications · 469 citations

    7

    h-index

  4. RG
    Ramón González

    Massachusetts Institute of Technology, United States

    6 publications · 323 citations

    6

    h-index

  5. GR
    Giulio Reina

    University of Salento, Italy

    6 publications · 439 citations

    6

    h-index

1–5 of 743

Venues

  1. IEEE Transactions on Robotics

    6 publications · 627 citations

    6

    h-index

  2. Vehicle System Dynamics

    5 publications · 410 citations

    5

    h-index

  3. Journal of Terramechanics

    5 publications · 225 citations

    5

    h-index

  4. Journal of Field Robotics

    JFR · 5 publications · 383 citations

    5

    h-index

  5. IEEE Transactions on Industry Applications

    5 publications · 327 citations

    5

    h-index

1–5