Task Scheduling For Robots

Task Scheduling for Robots is a computational framework that determines the optimal sequence, timing, and allocation of manufacturing tasks to robotic agents, distinguishing itself by integrating dynamic environment constraints, robot capabilities, and production objectives to enhance efficiency, coordination, and adaptability in automated systems.

356

Publications

13.2K

Citations

876

Authors

366

Institutions

Publications per year

2017–2026

141

Authors

876

  1. EL
    Eugene Levner

    Holon Institute of Technology, Israel

    11 publications · 481 citations

    12

    h-index

  2. HK
    Hyun-Jung Kim

    Korea Advanced Institute of Science and Technology, South Korea

    10 publications · 418 citations

    9

    h-index

  3. MG
    Maria Gini

    University of Minnesota, United States

    8 publications · 421 citations

    8

    h-index

  4. VK
    Vladimir Kats

    Holon Institute of Technology, Israel

    7 publications · 341 citations

    8

    h-index

  5. TL
    Tae‐Eog Lee

    Korea Advanced Institute of Science and Technology, South Korea

    7 publications · 260 citations

    7

    h-index

1–5 of 876

Venues

  1. 15

    h-index

  2. Robotics and Computer-Integrated Manufacturing

    10 publications · 514 citations

    11

    h-index

  3. Robotics and Autonomous Systems

    11 publications · 784 citations

    11

    h-index

  4. European Journal of Operational Research

    9 publications · 578 citations

    9

    h-index

  5. International Journal of Production Research

    7 publications · 316 citations

    7

    h-index

1–5