Abstract Aiming at the three main problems in localization of mobile robots, position tracking, global localization and kidnapped problem, an autonomous localization strategy based on genetic algorithm is proposed. A fitness function is designed based on the similarity of position. The real-coded method is used in the crossover and the mutation steps to improve the real-time ability of the algorithm. For the kidnapped problem, a scattering mechanism is introduced into the regular genetic algorithm. Thus, the population impoverishment problem is largely alleviated. Subsequently, the population state is updated with the kinematic model to achieve continuous localization of mobile robots. The experimental results of indoor environment demonstrate the validity of the proposed localization strategy.
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2009, Vol. 22 
