Observation Sharing

Observation Sharing is a multi-robot perception mechanism in which individual robots transmit raw or processed sensor data to other team members to enhance collective environmental understanding while preserving data fidelity and enabling decentralized state estimation.

18

Publications

1.3K

Citations

52

Authors

26

Institutions

Publications per year

2017–2026

7

Variants

Perception Sharing

Authors

52

  1. DJ
    Daniel J. Stilwell

    Virginia Tech, United States

    2 publications · 35 citations

    2

    h-index

  2. AK
    Andreas Kolling

    University of Pittsburgh, United States

    2 publications · 104 citations

    2

    h-index

  3. SC
    Stefano Carpin

    University of California, Merced, United States

    2 publications · 104 citations

    2

    h-index

  4. LZ
    Lianjie Zhou

    Shenzhen University, China

    1 publications · 64 citations

    1

    h-index

  5. MI
    Mykhailo Ivanov

    Universidad Autónoma de Baja California, Mexico

    1 publications · 12 citations

    1

    h-index

1–5 of 52

Venues

  1. IEEE Robotics & Automation Magazine

    1 publications · 65 citations

    1

    h-index

  2. Frontiers of Computer Science

    1 publications · 20 citations

    1

    h-index

  3. KTH Publication Database DiVA (KTH Royal Institute of Technology)

    Repository · 1 publications · 10 citations

    1

    h-index

  4. SIAM Journal on Control and Optimization

    1 publications · 10 citations

    1

    h-index

  5. 1

    h-index

1–5