Distributed Place Recognition

Distributed Place Recognition is a multi-robot perception framework that enables a network of agents to collaboratively identify previously visited locations by exchanging compact, invariant representations of sensory data while preserving decentralized computation and limited inter-agent communication.

4

Publications

177

Citations

6

Authors

3

Institutions

Publications per year

2017–2026

4

Authors

6

  1. DS
    Davide Scaramuzza

    University of Zurich, Switzerland

    2 publications · 77 citations

    2

    h-index

  2. TC
    Titus Cieslewski

    University of Zurich, Switzerland

    2 publications · 77 citations

    2

    h-index

  3. YC
    Yun Chang

    Massachusetts Institute of Technology, United States

    1 publications · 76 citations

    1

    h-index

  4. LC
    Luca Carlone

    Massachusetts Institute of Technology, United States

    1 publications · 76 citations

    1

    h-index

  5. JP
    Jonathan P. How

    Massachusetts Institute of Technology, United States

    1 publications · 76 citations

    1

    h-index

1–5 of 6

Institutions

3

  1. University of Zurich

    Zurich, Switzerland

    3 h-index

    6 publications

    202 citations

  2. Decision Systems (United States)

    Northbrook, United States

    1 h-index

    4 publications

    304 citations

  3. Massachusetts Institute of Technology

    Cambridge, United States

    1 h-index

    4 publications

    304 citations

1–3 of 3

Venues

  1. Zurich Open Repository and Archive (University of Zurich)

    Repository · 1 publications · 25 citations

    1

    h-index

  2. arXiv (Cornell University)

    Repository · 1 publications · 76 citations

    1

    h-index

  3. IEEE Robotics and Automation Letters

    1 publications · 52 citations

    1

    h-index

1–3