Robust Manipulation Control

Robust Manipulation Control is a control strategy in dexterous manipulation that ensures reliable and stable performance under uncertainties and disturbances by explicitly accounting for modeling errors, sensor noise, and environmental variations.

37

Publications

1.3K

Citations

103

Authors

65

Institutions

Publications per year

2017–2026

12

Authors

103

  1. SH
    Shinichi Hirai

    Ritsumeikan University, Japan

    2 publications · 146 citations

    2

    h-index

  2. JT
    John T. Wen

    Rensselaer Polytechnic Institute, United States

    2 publications · 107 citations

    2

    h-index

  3. NJ
    Nader Jalili

    Clemson University, United States

    2 publications · 66 citations

    2

    h-index

  4. MT
    Masayoshi Tomizuka

    University of California, Berkeley, United States

    2 publications · 25 citations

    2

    h-index

  5. SB
    Steven B. Skaar

    University of Notre Dame, United States

    2 publications · 90 citations

    2

    h-index

1–5 of 103

Venues

  1. 2

    h-index

  2. 2

    h-index

  3. Nanoscale

    1 publications · 15 citations

    1

    h-index

  4. 2022 International Conference on Robotics and Automation (ICRA)

    Conference · 1 publications · 20 citations

    1

    h-index

  5. Automatica

    1 publications · 92 citations

    1

    h-index

1–5