Multi-robot Task Assignment

Multi-Robot Task Assignment is a formal computational framework within multi-robot scheduling that allocates specific tasks to individual robots in a coordinated manner, distinguishing itself by optimizing task-to-robot assignments under constraints such as resource availability, spatial distribution, and temporal deadlines.

129

Publications

5.8K

Citations

355

Authors

151

Institutions

Publications per year

2017–2026

64

Authors

355

  1. DA
    Dylan A. Shell

    Texas A&M University, United States

    8 publications · 284 citations

    8

    h-index

  2. KS
    Katia Sycara

    Carnegie Mellon University, United States

    6 publications · 349 citations

    6

    h-index

  3. NC
    Nilanjan Chakraborty

    Carnegie Mellon University, United States

    6 publications · 342 citations

    6

    h-index

  4. LL
    Lingzhi Luo

    University of Electronic Science and Technology of China, China

    5 publications · 328 citations

    5

    h-index

  5. CN
    Changjoo Nam

    Korea Institute of Science and Technology, South Korea

    4 publications · 118 citations

    4

    h-index

1–5 of 355

Venues

  1. 7

    h-index

  2. IEEE Transactions on Robotics

    4 publications · 201 citations

    4

    h-index

  3. IEEE Robotics and Automation Letters

    4 publications · 256 citations

    4

    h-index

  4. Robotics and Autonomous Systems

    3 publications · 278 citations

    3

    h-index

  5. Applied Sciences

    3 publications · 72 citations

    3

    h-index

1–5