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- W4321498079 endingPage "2399" @default.
- W4321498079 startingPage "2399" @default.
- W4321498079 abstract "For a network of robots working in a specific environment, relative localization among robots is the basis for accomplishing various upper-level tasks. To avoid the latency and fragility of long-range or multi-hop communication, distributed relative localization algorithms, in which robots take local measurements and calculate localizations and poses relative to their neighbors distributively, are highly desired. Distributed relative localization has the advantages of a low communication burden and better system robustness but encounters challenges in the distributed algorithm design, communication protocol design, local network organization, etc. This paper presents a detailed survey of the key methodologies designed for distributed relative localization for robot networks. We classify the distributed localization algorithms regarding to the types of measurements, i.e., distance-based, bearing-based, and multiple-measurement-fusion-based. The detailed design methodologies, advantages, drawbacks, and application scenarios of different distributed localization algorithms are introduced and summarized. Then, the research works that support distributed localization, including local network organization, communication efficiency, and the robustness of distributed localization algorithms, are surveyed. Finally, popular simulation platforms are summarized and compared in order to facilitate future research and experiments on distributed relative localization algorithms." @default.
- W4321498079 created "2023-02-23" @default.
- W4321498079 creator A5014109600 @default.
- W4321498079 creator A5051830906 @default.
- W4321498079 creator A5053362548 @default.
- W4321498079 creator A5083038336 @default.
- W4321498079 date "2023-02-21" @default.
- W4321498079 modified "2023-10-18" @default.
- W4321498079 title "Distributed Relative Localization Algorithms for Multi-Robot Networks: A Survey" @default.
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