In multi-robot exploration for real-world applications, the amount of communication available in a given environment can vary greatly, and has significant effects on the performance of the robot team. We compare algorithms which use three communication models, from unlimited global communication to unplanned, semi-random encounters between robots; and we evaluate each algorithms’ performance with different sized robot teams in three environments. We provide simulation results showing how the algorithms perform under optimal conditions, and discuss how real-world situations impact performance.
|Original language||English (US)|
|Title of host publication||Springer Proceedings in Advanced Robotics|
|Publisher||Springer Science and Business Media B.V.|
|Number of pages||15|
|State||Published - 2019|
|Name||Springer Proceedings in Advanced Robotics|
Bibliographical notePublisher Copyright:
© 2019, Springer Nature Switzerland AG.
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