A genetic algorithm for autonomous navigation in partially observable domain

Maxim Borisyak; Andrey Ustyuzhanin

A genetic algorithm for autonomous navigation in partially observable domain

Machine Learning 2015-07-28 v1 Artificial Intelligence Neural and Evolutionary Computing

Authors: Maxim Borisyak , Andrey Ustyuzhanin

Abstract

The problem of autonomous navigation is one of the basic problems for robotics. Although, in general, it may be challenging when an autonomous vehicle is placed into partially observable domain. In this paper we consider simplistic environment model and introduce a navigation algorithm based on Learning Classifier System.

Keywords

robot navigation genetic algorithm autonomous driving

Cite

@article{arxiv.1507.07374,
  title  = {A genetic algorithm for autonomous navigation in partially observable domain},
  author = {Maxim Borisyak and Andrey Ustyuzhanin},
  journal= {arXiv preprint arXiv:1507.07374},
  year   = {2015}
}

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