Hybrid Model-based Learning

Hybrid Model-Based Learning is a model-based robot learning framework that integrates both learned and analytical models within a unified architecture to leverage the accuracy of first-principles modeling and the adaptability of data-driven approaches.

787

Publications

38.6K

Citations

2.9K

Authors

1.1K

Institutions

Publications per year

2017–2026

593

Authors

2.9K

  1. AM
    Amir Mosavi

    Obuda University, Hungary

    4 publications · 265 citations

    4

    h-index

  2. MA
    Md. Alamin Talukder

    Jagannath University, Bangladesh

    4 publications · 474 citations

    4

    h-index

  3. TP
    Todd Peterson

    University of Alabama, United States

    4 publications · 191 citations

    4

    h-index

  4. RS
    Ruiji Sun

    University of Alabama, United States

    4 publications · 153 citations

    4

    h-index

  5. DC
    Danielle C. Maddix

    Amazon (United States), United States

    3 publications · 105 citations

    3

    h-index

1–5 of 2.9K

Venues

  1. IEEE Access

    30 publications · 2.2K citations

    23

    h-index

  2. Expert Systems with Applications

    26 publications · 2.2K citations

    21

    h-index

  3. arXiv (Cornell University)

    Repository · 15 publications · 407 citations

    12

    h-index

  4. Energy

    10 publications · 741 citations

    10

    h-index

  5. Scientific Reports

    9 publications · 187 citations

    9

    h-index

1–5