Explainable Autonomous Robots

Explainable Autonomous Robots is an academic construct referring to a class of autonomous robotic systems designed with intrinsic capabilities to generate human-understandable justifications of their decision-making processes, thereby enabling transparency, interpretability, and accountability in their actions within complex and dynamic environments.

31

Publications

1.8K

Citations

82

Authors

37

Institutions

Publications per year

2017–2026

18

Authors

82

  1. VR
    Vasumathi Raman

    Cornell University, United States

    2 publications · 107 citations

    2

    h-index

  2. UK
    Ulrich Klank

    Technical University of Munich, Germany

    2 publications · 128 citations

    2

    h-index

  3. MM
    Maartje M.A. de Graaf

    University of Twente, Netherlands

    1 publications · 110 citations

    2

    h-index

  4. MB
    Michael Beetz

    Technical University of Munich, Germany

    2 publications · 128 citations

    2

    h-index

  5. DP
    Dejan Pangercic

    Technical University of Munich, Germany

    2 publications · 128 citations

    2

    h-index

1–5 of 82

Venues

  1. Frontiers in Artificial Intelligence

    1 publications · 33 citations

    1

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 154 citations

    1

    h-index

  3. Minds and Machines

    1 publications · 16 citations

    1

    h-index

  4. 1

    h-index

  5. Adaptive Behavior

    1 publications · 23 citations

    1

    h-index

1–5