Dynamics Randomization

Dynamics Randomization is a simulation-based training methodology that systematically varies physical parameters such as mass, friction, and damping within a virtual environment to enhance the robustness of control policies during Sim-To-Real transfer.

11

Publications

1.6K

Citations

59

Authors

20

Institutions

Publications per year

2017–2026

10

Authors

59

  1. XZ
    Xianlian Zhou

    New Jersey Institute of Technology, United States

    1 publications · 52 citations

    1

    h-index

  2. JD
    Jeremy Dao

    Oregon State University, United States

    1 publications · 10 citations

    1

    h-index

  3. SV
    Srikar Valluri

    Oregon State University, United States

    1 publications · 10 citations

    1

    h-index

  4. BM
    Ben Moran

    Interactive Research and Development, Pakistan

    1 publications · 148 citations

    1

    h-index

  5. BN
    B. N. Babich

    University of Toronto, Canada

    1 publications · 75 citations

    1

    h-index

1–5 of 59

Venues

  1. IEEE Access

    1 publications · 32 citations

    1

    h-index

  2. Science Robotics

    1 publications · 148 citations

    1

    h-index

  3. Frontiers in Robotics and AI

    1 publications · 52 citations

    1

    h-index

  4. arXiv (Cornell University)

    Repository · 1 publications · 168 citations

    1

    h-index

  5. Drug Information Journal

    DIA · 1 publications · 145 citations

    1

    h-index

1–5