Simulation-based Programming

Simulation-Based Programming is a robotic programming paradigm that belongs to the class of offline programming methods, distinguished by its reliance on virtual environments to model, test, and optimize robot trajectories and fabrication processes prior to physical execution, thereby enabling error-free and efficient deployment of robotic tasks in real-world settings.

99

Publications

2.8K

Citations

260

Authors

118

Institutions

Publications per year

2017–2026

18

Authors

260

  1. RE
    Richard E. Nance

    Virginia Tech, United States

    3 publications · 171 citations

    3

    h-index

  2. GE
    George E. Heidorn

    IBM Research - Thomas J. Watson Research Center, United States

    3 publications · 155 citations

    3

    h-index

  3. BL
    B. Lewis Barnett

    University of Richmond, United States

    2 publications · 28 citations

    2

    h-index

  4. FA
    Francisco A. Candelas-Herías

    University of Alicante, Spain

    2 publications · 40 citations

    2

    h-index

  5. GH
    Guohe Huang

    University of Regina, Canada

    2 publications · 56 citations

    2

    h-index

1–5 of 260

Venues

  1. 3

    h-index

  2. ACM SIGCSE Bulletin

    3 publications · 35 citations

    3

    h-index

  3. SIMULATION

    3 publications · 38 citations

    3

    h-index

  4. IEEE Transactions on Education

    2 publications · 49 citations

    2

    h-index

  5. ACM SIGPLAN Notices

    2 publications · 65 citations

    2

    h-index

1–5