Closed-loop Manipulation

Closed-Loop Manipulation is a dexterous manipulation framework that continuously integrates real-time sensory feedback to dynamically adjust and refine control policies during interaction, thereby distinguishing itself from open-loop approaches by its adaptive reliance on ongoing perceptual data for precise object handling.

44

Publications

2.2K

Citations

143

Authors

49

Institutions

Publications per year

2017–2026

19

Authors

143

  1. JM
    John M. Hollerbach

    University of Utah, United States

    3 publications · 98 citations

    3

    h-index

  2. SL
    S. Lafontaine

    McGill University, Canada

    3 publications · 98 citations

    3

    h-index

  3. PH
    Peter Hunter

    University of Auckland, New Zealand

    3 publications · 98 citations

    3

    h-index

  4. PM
    Poul M. F. Nielsen

    University of Auckland, New Zealand

    3 publications · 98 citations

    3

    h-index

  5. LF
    Li Fei-Fei

    Stanford University, United States

    2 publications · 171 citations

    2

    h-index

1–5 of 143

Venues

  1. IEEE Robotics and Automation Letters

    4 publications · 305 citations

    4

    h-index

  2. Medical Entomology and Zoology

    2 publications · 30 citations

    2

    h-index

  3. IEEE Transactions on Robotics

    1 publications · 77 citations

    2

    h-index

  4. IEEE Transactions on Robotics and Automation

    1 publications · 88 citations

    1

    h-index

  5. IEEE/ASME Transactions on Mechatronics

    1 publications · 199 citations

    1

    h-index

1–5