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- W2024484488 abstract "The recent growth in robotics applications has put to evidence the need for autonomous robots. In order for a robot to be truly autonomous, it must be able to solve the navigation problem. This paper highlights the main features of a fully embedded particle filter SLAM system and introduces some novel ways of calculating a measurement likelihood. A genetic algorithm calibration approach is used to prevent parameter over-fitting and obtain more generalizable results. Finally, it is depicted how the developed SLAM system was used to autonomously perform a field covering task showing robustness and better performance than a reference system. Several lines of possible improvements to the present system are presented." @default.
- W2024484488 created "2016-06-24" @default.
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- W2024484488 date "2013-11-01" @default.
- W2024484488 modified "2023-09-25" @default.
- W2024484488 title "An embedded particle filter SLAM implementation using an affordable platform" @default.
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- W2024484488 doi "https://doi.org/10.1109/icar.2013.6766537" @default.
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