Matthias Gruhler

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Precise and reliable localization as well as dynamic path planning are key components to enable flexibly and efficiently operating mobile robots in industrial applications. Both strongly depend on up-to-date navigation maps of the respective environment. However, in these particular applications, providing those maps can be very challenging due to the(More)
This paper presents a hybrid localization approach for mobile robots combining local grid maps and natural landmarks. The approach at hand benefits from the advantages of both environment representations. While using memory-efficient geometric models describing natural landmarks as features for localization in structured regions, the proposed system(More)
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