Adaptive Shared Control

Adaptive Shared Control is a control framework within human-machine systems that dynamically adjusts the allocation of control authority between human and autonomous agents based on real-time changes in system performance, environmental conditions, or operator state, thereby distinguishing itself from static or fixed shared control strategies.

17

Publications

776

Citations

90

Authors

36

Institutions

Publications per year

2017–2026

10

Authors

90

  1. KH
    Klaus Hauer

    Heidelberg University, Germany

    1 publications · 48 citations

    1

    h-index

  2. LA
    Lincoln A. Jaros

    University of Michigan, United States

    1 publications · 13 citations

    1

    h-index

  3. ZL
    Zhu Liang Yu

    South China University of Technology, China

    1 publications · 31 citations

    1

    h-index

  4. VF
    Virginia F. Tejada

    University of Plymouth, United Kingdom

    1 publications · 11 citations

    1

    h-index

  5. RL
    Renjie Li

    Wuhan University, China

    1 publications · 12 citations

    1

    h-index

1–5 of 90

Venues

  1. Journal of Neural Engineering

    1 publications · 31 citations

    1

    h-index

  2. Accident Analysis & Prevention

    1 publications · 30 citations

    1

    h-index

  3. International Journal of Social Robotics

    1 publications · 48 citations

    1

    h-index

  4. IEEE Transactions on Robotics

    1 publications · 186 citations

    1

    h-index

  5. IEEE Robotics & Automation Magazine

    1 publications · 11 citations

    1

    h-index

1–5