Adaptive Assistive Control

Adaptive Assistive Control is a control framework in assistive medical robotics that dynamically adjusts human–robot interaction parameters in real time based on user intent, physiological feedback, and environmental context to optimize assistance delivery.

125

Publications

6.3K

Citations

431

Authors

178

Institutions

Publications per year

2017–2026

42

Authors

431

  1. DJ
    David J. Reinkensmeyer

    University of California, Irvine, United States

    4 publications · 594 citations

    4

    h-index

  2. ET
    Eric T. Wolbrecht

    University of Idaho, United States

    4 publications · 597 citations

    4

    h-index

  3. SM
    Samer Mohammed

    Paris-Est Sup, France

    4 publications · 70 citations

    4

    h-index

  4. FH
    Fumio Harashima

    The University of Tokyo, Japan

    3 publications · 68 citations

    3

    h-index

  5. GN
    Golshah Naghdy

    University of Wollongong, Australia

    3 publications · 99 citations

    3

    h-index

1–5 of 431

Venues

  1. 6

    h-index

  2. IEEE Access

    5 publications · 114 citations

    5

    h-index

  3. IEEE Robotics and Automation Letters

    4 publications · 247 citations

    3

    h-index

  4. IEEE/ASME Transactions on Mechatronics

    3 publications · 160 citations

    3

    h-index

  5. IEEE Transactions on Robotics

    3 publications · 482 citations

    3

    h-index

1–5