Generative Robotic Systems

Generative Robotic Systems is a robotic framework that autonomously produces adaptive, context-responsive behaviors or artistic outputs through integrated generative models, distinguishing it from predefined or reactive robotic systems by its capacity for creative synthesis and emergent decision-making.

42

Publications

1.8K

Citations

156

Authors

62

Institutions

Publications per year

2017–2026

23

Authors

156

  1. CZ
    Changle Zhou

    Xiamen University, China

    4 publications · 111 citations

    4

    h-index

  2. CS
    Changjing Shang

    Aberystwyth University, United Kingdom

    4 publications · 111 citations

    4

    h-index

  3. LY
    Longzhi Yang

    Northumbria University, United Kingdom

    4 publications · 111 citations

    4

    h-index

  4. LB
    Luc Berthouze

    University of Sussex, United Kingdom

    3 publications · 85 citations

    3

    h-index

  5. AE
    A. E. Eiben

    Vrije Universiteit Amsterdam, Netherlands

    3 publications · 59 citations

    3

    h-index

1–5 of 156

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 46 citations

    3

    h-index

  2. Frontiers in Neurorobotics

    2 publications · 65 citations

    2

    h-index

  3. Leonardo

    2 publications · 31 citations

    2

    h-index

  4. SSRN Electronic Journal

    Repository · 2 publications · 124 citations

    2

    h-index

  5. Connection Science

    2 publications · 647 citations

    2

    h-index

1–5