Emotion-guided Robot Behavior

Emotion-Guided Robot Behavior is a computational framework within affective human-robot interaction that enables robots to generate and adapt their actions based on the recognition, interpretation, and contextual integration of human emotional states.

31

Publications

760

Citations

88

Authors

43

Institutions

Publications per year

2017–2026

4

Authors

88

  1. TF
    Toshio Fukuda

    Nagoya University, Japan

    2 publications · 58 citations

    2

    h-index

  2. MÁ
    Miguel Á. Salichs

    Universidad Carlos III de Madrid, Spain

    2 publications · 48 citations

    2

    h-index

  3. MM
    María Malfáz

    Universidad Carlos III de Madrid, Spain

    2 publications · 48 citations

    2

    h-index

  4. MF
    Masahiro Fujita

    Sony Computer Science Laboratories, Japan

    1 publications · 37 citations

    1

    h-index

  5. ÁC
    Álvaro Castro‐González

    Universidad Carlos III de Madrid, Spain

    1 publications · 23 citations

    1

    h-index

1–5 of 88

Venues

  1. Neurocomputing

    3 publications · 82 citations

    3

    h-index

  2. Computer Vision and Pattern Recognition

    Conference · 1 publications · 13 citations

    1

    h-index

  3. Cognitive Processing

    1 publications · 21 citations

    1

    h-index

  4. Journal of Intelligent & Robotic Systems

    1 publications · 24 citations

    1

    h-index

  5. IFAC Proceedings Volumes

    1 publications · 25 citations

    1

    h-index

1–5