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- W147107711 abstract "So far, we investigated different aspects of the map learning problem. We started in Chapter 3 with an information gain-based approach to exploration, where we assumed that the poses of the robot were known during exploration. After dealing with the problem of coordinating a team of robots, we addressed the SLAM problem to find a way to deal with the pose uncertainty of a mobile robot. We then presented in the previous two chapters an exploration system that takes into account the pose uncertainty and carries out loop-closing actions in order to relocalize the robot. This has been shown to provide better maps than exploration approaches focusing on new terrain acquisition only.KeywordsMobile RobotLaser RangeLeft ImageExploration ApproachOccupancy GridThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
- W147107711 created "2016-06-24" @default.
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- W147107711 date "2009-01-01" @default.
- W147107711 modified "2023-10-16" @default.
- W147107711 title "Information Gain-based Exploration" @default.
- W147107711 doi "https://doi.org/10.1007/978-3-642-01097-2_9" @default.
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