Decentralized Perception

Decentralized Perception is a multi-robot perception paradigm in which each robot independently processes and fuses sensory data without relying on a central coordinator, enabling autonomous decision-making through local computation and peer-to-peer communication.

2

Publications

57

Citations

4

Authors

2

Institutions

Publications per year

2017–2026

1

Authors

4

  1. BA
    Beshah Ayalew

    Clemson University, United States

    1 publications · 43 citations

    1

    h-index

  2. PA
    Pekka Appelqvist

    University of Helsinki, Finland

    1 publications · 14 citations

    1

    h-index

  3. GG
    G. G. Md. Nawaz Ali

    Auckland University of Technology, New Zealand

    1 publications · 43 citations

    1

    h-index

  4. DD
    DoHyun Daniel Yoon

    Clemson University, United States

    1 publications · 43 citations

    1

    h-index

  5. SX
    Simon X. Yang

    University of Guelph, Canada

    1 publications · 17 citations

    0

    h-index

1–5 of 4

Venues

  1. Aaltodoc (Aalto University)

    Repository · 1 publications · 14 citations

    1

    h-index

  2. 1

    h-index

  3. Swarm Intelligence

    1 publications · 10 citations

1–3