Robotic Process Sequencing

Robotic Process Sequencing is a computational framework that determines the optimal order of robotic tasks in construction workflows by integrating automation constraints, spatial dependencies, and project timelines to enable efficient and collision-free execution of building processes.

28

Publications

1.2K

Citations

73

Authors

42

Institutions

Publications per year

2017–2026

11

Authors

73

  1. TL
    Tae‐Eog Lee

    Korea Advanced Institute of Science and Technology, South Korea

    3 publications · 122 citations

    3

    h-index

  2. SC
    Subhash C. Sarin

    Virginia Tech, United States

    2 publications · 53 citations

    2

    h-index

  3. HK
    Hyun-Jung Kim

    Korea Advanced Institute of Science and Technology, South Korea

    2 publications · 100 citations

    2

    h-index

  4. SA
    Sergey Alatartsev

    Otto-von-Guericke-Universität Magdeburg, Germany

    2 publications · 40 citations

    2

    h-index

  5. AC
    Arthur C. Sanderson

    Rensselaer Polytechnic Institute, United States

    2 publications · 108 citations

    2

    h-index

1–5 of 73

Venues

  1. Computers & Operations Research

    2 publications · 69 citations

    2

    h-index

  2. International Journal of Production Research

    2 publications · 69 citations

    2

    h-index

  3. Journal of Scheduling

    JOS · 2 publications · 136 citations

    2

    h-index

  4. 2

    h-index

  5. SpaceOps 2006 Conference

    Conference · 1 publications · 12 citations

    1

    h-index

1–5