Embodied Generative Systems

Embodied Generative Systems is a computational framework that integrates generative models with sensorimotor embodiment, enabling the system to dynamically produce adaptive behaviors and outputs through real-time interaction with physical or simulated environments.

18

Publications

605

Citations

57

Authors

25

Institutions

Publications per year

2017–2026

14

Authors

57

  1. AH
    Amir Hussain

    Edinburgh Napier University, United Kingdom

    2 publications · 89 citations

    3

    h-index

  2. DN
    Dusit Niyato

    Nanyang Technological University, Singapore

    2 publications · 89 citations

    3

    h-index

  3. VC
    Vinay Chamola

    Birla Institute of Technology and Science, Pilani, India

    2 publications · 89 citations

    3

    h-index

  4. SZ
    Sherali Zeadally

    University of Kentucky, United States

    2 publications · 89 citations

    2

    h-index

  5. GB
    Gaurang Bansal

    Birla Institute of Technology and Science, Pilani, India

    2 publications · 89 citations

    2

    h-index

1–5 of 57

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 26 citations

    2

    h-index

  2. Proceedings of the AAAI Symposium Series

    1 publications · 18 citations

    1

    h-index

  3. Frontiers in Robotics and AI

    1 publications · 16 citations

    1

    h-index

  4. Engineering

    1 publications · 33 citations

    1

    h-index

  5. IEEE Internet of Things Magazine

    IoTM · 1 publications · 77 citations

    1

    h-index

1–5