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This paper proposes self-localization and map building methods based on a steady-state genetic algorithm and self organizing map for a mobile robot used for illuminance measurement. According to the measured distance by a laser range finder, the map is updated sequentially. When the difference between the self-position on the building map and the estimated self-position based on the measured distance...
This paper proposes a steady-state genetic algorithm for self-localization and map building for illuminance measurement of a mobile robot. The map is represented by 2 dimensional discrete cell space. According to the measured distance by laser range finder, the map is updated sequentially. When the difference between the measured distance and the map data is large, a steady-state genetic algorithm...
This paper discusses human-friendly interface of a teleoperated mobile robot. We consider that a human interface which is simple with intuitive operation capability reduces confusion of an operator. When operating a complicated system, easy operations are required in each step of the operation. Also in teleoperation, in order to tell an operator the situation of workspace, it is necessary to display...
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