Adaptive Manipulation Control

Adaptive Manipulation Control is a control framework within robotic manipulation that dynamically adjusts its control strategies in response to real-time changes in object properties, environmental conditions, or task requirements, thereby enabling robust and precise interaction with uncertain or varying physical systems.

24

Publications

1.6K

Citations

63

Authors

33

Institutions

Publications per year

2017–2026

8

Authors

63

  1. PK
    Peter Kyberd

    University of New Brunswick, Canada

    2 publications · 131 citations

    2

    h-index

  2. SK
    S.P. Kárason

    Massachusetts Institute of Technology, United States

    2 publications · 319 citations

    2

    h-index

  3. AM
    Anuradha M. Annaswamy

    Massachusetts Institute of Technology, United States

    2 publications · 319 citations

    2

    h-index

  4. HL
    He Li

    Southeast University, China

    1 publications · 51 citations

    1

    h-index

  5. GC
    Giuseppe Cotugno

    King's College London, United Kingdom

    1 publications · 13 citations

    1

    h-index

1–5 of 63

Venues

  1. Aerospace Science and Technology

    AST · 2 publications · 49 citations

    2

    h-index

  2. IEEE Transactions on Robotics and Automation

    1 publications · 56 citations

    1

    h-index

  3. Robotics and Autonomous Systems

    1 publications · 38 citations

    1

    h-index

  4. Nanophotonics

    1 publications · 51 citations

    1

    h-index

  5. IEEE Transactions on Automatic Control

    1 publications · 279 citations

    1

    h-index

1–5