Human-robot Shared Control

Human-Robot Shared Control is a collaborative control framework in which human operators and robotic systems mutually contribute to and dynamically coordinate decision-making during task execution, distinguishing itself from autonomous or teleoperated control by integrating real-time intent inference, performance adaptation, and reciprocal authority allocation between human and robot agents.

363

Publications

17K

Citations

1.1K

Authors

360

Institutions

Publications per year

2017–2026

171

Authors

1.1K

  1. YD
    Yiannis Demiris

    Imperial College London, United Kingdom

    8 publications · 487 citations

    8

    h-index

  2. FF
    Frank Flemisch

    RWTH Aachen University, Germany

    8 publications · 609 citations

    7

    h-index

  3. RA
    Rachid Alami

    Laboratoire d'Analyse et d'Architecture des Systèmes, France

    6 publications · 318 citations

    6

    h-index

  4. KK
    Kazuhiro Kosuge

    Tohoku University, Japan

    6 publications · 372 citations

    6

    h-index

  5. PR
    Paolo Robuffo Giordano

    Institut de Recherche en Informatique et Systèmes Aléatoires, France

    6 publications · 157 citations

    6

    h-index

1–5 of 1.1K

Venues

  1. IEEE Robotics and Automation Letters

    19 publications · 1.2K citations

    16

    h-index

  2. IEEE Transactions on Human-Machine Systems

    8 publications · 706 citations

    8

    h-index

  3. The International Journal of Robotics Research

    IJRR · 5 publications · 219 citations

    5

    h-index

  4. IFAC-PapersOnLine

    5 publications · 195 citations

    5

    h-index

  5. Cognition Technology & Work

    5 publications · 451 citations

    5

    h-index

1–5