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The metric map generated by the mobile robot would allow possible future autonomous navigation without direct control of the user, whose function could be relegated to choose robot destinations.
Such a map provides a higher-level representation of the environment than the geometric maps normally used for mobile robot navigation.
Our method provides an easy-to-use way to prepare a map for a mobile robot such as Pepper.
In this paper we propose a new measure that takes the uncertainty in both the robot path and the map into account.
This allows the ground robot to make use of the extended coverage of the map from the flying robot.
We also demonstrate how such maps can be used to localize a robot and persons in their environment.
Hence, we can select appropriate map building algorithm for different practical environment where mobile robot moves.
Journal ArticleDOI
Peter Biber, Tom Duckett 
08 Jun 2005
306 Citations
The approach improves on the performance of previous relaxation methods for robot mapping, because it optimizes the map at multiple levels of resolution.
The efficiency and completeness of coverage is improved by the construction of a map while the robot covers the surface.
An efficient navigation strategy based on the LT-map allows the robot to reliably follow previously recorded paths.
The extracted primitives can be used to update the robot position and the global map.
Then, we propose the complete coverage navigation and map construction methods which enable the cleaning robot to navigate the complete workspace without complete information about the environment.
Experimental results showed the method is adequate for map generation and sending a robot on an errand to a destination.
In particular, the method is suitable for map generation during long robot movement because deadlocking error of the robot does not accumulate.
We demonstrate the effectiveness of our approach in extensive experiments carried out both in simulation and with a real vacuum cleaning robot, also in comparison to previous approaches.

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