Explainable Robot Behavior

Explainable Robot Behavior is a computational framework within human-robot teaming that enables a robot to generate transparent, contextually relevant, and human-comprehensible justifications for its actions, thereby distinguishing it from opaque autonomous decision-making through its emphasis on interpretable intent communication and accountability to human collaborators.

67

Publications

3.3K

Citations

167

Authors

58

Institutions

Publications per year

2017–2026

49

Authors

167

  1. AW
    Agnieszka Wykowska

    Italian Institute of Technology, Italy

    3 publications · 65 citations

    4

    h-index

  2. HA
    Holly A. Yanco

    University of Massachusetts Lowell, United States

    3 publications · 91 citations

    3

    h-index

  3. SK
    Subbarao Kambhampati

    Arizona State University, United States

    2 publications · 46 citations

    3

    h-index

  4. HK
    Hadas Kress‐Gazit

    Cornell University, United States

    3 publications · 136 citations

    3

    h-index

  5. JP
    Jairo Pérez-Osorio

    Italian Institute of Technology, Italy

    3 publications · 65 citations

    3

    h-index

1–5 of 167

Venues

  1. ACM Transactions on Human-Robot Interaction

    THRI · 3 publications · 99 citations

    3

    h-index

  2. Paladyn Journal of Behavioral Robotics

    3 publications · 183 citations

    3

    h-index

  3. Frontiers in Robotics and AI

    3 publications · 78 citations

    3

    h-index

  4. National Conference on Artificial Intelligence

    Conference · 2 publications · 52 citations

    2

    h-index

  5. Frontiers in Psychology

    1 publications · 144 citations

    1

    h-index

1–5