The paper presents a cooperative fuzzy sparse extended information filtering (FSEIF) method for simultaneous localization and mapping SLAM) of multiple three-wheeled omnidirectional mobile multirobots in a given indoor environment. After brief description of our previous fuzzy SEIF SLAM (FSEIF SLAM) algorithm for a single mobile robot, a cooperative Fuzzy SEIF SLAM approach is presented for a group of omnidirectional mobile multirobots, where the optimal path searching method is devised by incorporating with K-means and Dijkstra algorithm under the assumption of known map and correspondence conditions. The effectiveness and merits of the proposed cooperative FSEIF SLAM in a large-scale environment are well illustrated by carrying out comparative simulations for multiple mobile robots.
CITATION STYLE
Tsai, C. C., & Lai, Y. C. (2019). Cooperative FSEIF SLAM of Omnidirectional Mobile Multirobots. In Advances in Intelligent Systems and Computing (Vol. 1000, pp. 667–680). Springer Verlag. https://doi.org/10.1007/978-3-030-21920-8_59
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