Position estimation in mobile robots using particle filters
DOI:
https://doi.org/10.33571/rpolitec.v13n25a8Keywords:
Mobile robot, particle filter, Monte Carlo methods, stochastic filter, Bayesian filterAbstract
This works presents an approach to solve the problem of controlling differential motion mobile robots with odometry techniques, trajectory tracking algorithms based on A*, control by pure persecution and state estimation using particles filters to calculate the robot location. The paper is accompanied by a series of simulation results that verify the proper functioning of the proposed methodology.
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