Auction-based Task Allocation

Auction-Based Task Allocation is a decentralized task allocation mechanism in which heterogeneous robot teams assign tasks through a bidding process wherein each robot submits bids based on its own cost or utility estimate, and tasks are allocated to the highest or lowest bidder according to an auction protocol.

165

Publications

9.7K

Citations

492

Authors

204

Institutions

Publications per year

2017–2026

57

Authors

492

  1. MG
    Maria Gini

    University of Minnesota, United States

    6 publications · 332 citations

    6

    h-index

  2. SK
    Sven Koenig

    University of Southern California, United States

    5 publications · 376 citations

    5

    h-index

  3. CA
    Craig A. Tovey

    Georgia Institute of Technology, United States

    4 publications · 207 citations

    4

    h-index

  4. LL
    Lingzhi Luo

    University of Electronic Science and Technology of China, China

    3 publications · 113 citations

    3

    h-index

  5. ZC
    Zhipeng Cai

    Georgia State University, United States

    3 publications · 328 citations

    3

    h-index

1–5 of 492

Venues

  1. IEEE Transactions on Mobile Computing

    TMCCI · 3 publications · 180 citations

    4

    h-index

  2. IEEE Access

    3 publications · 151 citations

    3

    h-index

  3. Mathematical Problems in Engineering

    MPE · 3 publications · 63 citations

    3

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 3 publications · 205 citations

    3

    h-index

  5. Computer Communications

    3 publications · 144 citations

    3

    h-index

1–5