Robot Self-explanation

Robot Self-Explanation is a computational capability enabling a robot to generate intelligible accounts of its own decisions, behaviors, or internal states, distinguishing it from general transparency methods by originating from the robot’s own cognitive or operational architecture.

34

Publications

1.7K

Citations

107

Authors

53

Institutions

Publications per year

2017–2026

20

Authors

107

  1. GT
    Guglielmo Tamburrini

    University of Naples Federico II, Italy

    2 publications · 48 citations

    2

    h-index

  2. AW
    Agnieszka Wykowska

    Italian Institute of Technology, Italy

    2 publications · 35 citations

    2

    h-index

  3. KK
    Kyung-Joong Kim

    Sejong University, South Korea

    2 publications · 24 citations

    2

    h-index

  4. SS
    Sonja Stange

    Bielefeld University, Germany

    2 publications · 79 citations

    2

    h-index

  5. HL
    Hod Lipson

    Cornell University, United States

    2 publications · 24 citations

    2

    h-index

1–5 of 107

Venues

  1. ACM Transactions on Human-Robot Interaction

    THRI · 2 publications · 83 citations

    2

    h-index

  2. International Journal of Social Robotics

    2 publications · 75 citations

    2

    h-index

  3. Frontiers in Artificial Intelligence

    1 publications · 33 citations

    1

    h-index

  4. 1

    h-index

  5. National Conference on Artificial Intelligence

    Conference · 1 publications · 42 citations

    1

    h-index

1–5