Abstract

Docking of mobile robots requires precise rawpose estimation relative to the docking platform to accomplish the task successfully. Besides, sensors data acquisitions in an indoor environment should be accurate enough for localization and navigation toward the docking platform. However, the sensors are entitled to errors due to the measurement uncertainty. In this paper, sensor integration is exploited to decrease the measurement ambiguity and increase the accuracy of the docking.

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