Formation Control Learning

Formation Control Learning is a multi-robot learning framework that specializes in acquiring cooperative control policies enabling a group of robots to autonomously achieve and maintain a desired spatial configuration through adaptive inter-agent coordination.

37

Publications

1.3K

Citations

131

Authors

62

Institutions

Publications per year

2017–2026

28

Authors

131

  1. YJ
    Yingmin Jia

    Beihang University, China

    4 publications · 282 citations

    4

    h-index

  2. JD
    Junping Du

    Beijing University of Posts and Telecommunications, China

    2 publications · 209 citations

    2

    h-index

  3. LZ
    Lijun Zhang

    Northwestern Polytechnical University, China

    2 publications · 38 citations

    2

    h-index

  4. HL
    Hao Liu

    Beihang University, China

    2 publications · 91 citations

    2

    h-index

  5. ZW
    Zhengkun Wang

    Yunnan Normal University, China

    2 publications · 38 citations

    2

    h-index

1–5 of 131

Venues

  1. Ocean Engineering

    5 publications · 129 citations

    5

    h-index

  2. Neurocomputing

    3 publications · 97 citations

    3

    h-index

  3. Information Sciences

    2 publications · 86 citations

    2

    h-index

  4. 2

    h-index

  5. arXiv (Cornell University)

    Repository · 2 publications · 32 citations

    2

    h-index

1–5