Multi-robot Interaction Evaluation

Multi-Robot Interaction Evaluation is a systematic academic framework for assessing the performance, coordination, and collaborative behaviors of multiple robotic agents within shared environments, distinguished from other interaction evaluation paradigms by its focus on multi-agent dynamism, inter-robot communication, and collective task achievement.

13

Publications

422

Citations

38

Authors

11

Institutions

Publications per year

2017–2026

5

Authors

38

  1. CT
    Chen Tang

    University of California, Berkeley, United States

    2 publications · 163 citations

    2

    h-index

  2. PS
    Peter Stone

    The University of Texas at Austin, United States

    2 publications · 163 citations

    2

    h-index

  3. JH
    Jiaheng Hu

    The University of Texas at Austin, United States

    2 publications · 163 citations

    2

    h-index

  4. RM
    Roberto Martín-Martín

    Stanford University, United States

    2 publications · 163 citations

    2

    h-index

  5. BA
    Ben Abbatematteo

    The University of Texas at Austin, United States

    2 publications · 163 citations

    2

    h-index

1–5 of 38

Venues

  1. Behaviour and Information Technology

    1 publications · 45 citations

    1

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 59 citations

    1

    h-index

  3. The Review of Socionetwork Strategies

    1 publications · 26 citations

    1

    h-index

  4. 1

    h-index

  5. 1

    h-index

1–5