Odor Plume Tracking Algorithm Inspired on Evolution

作者: B. Lorena Villarreal , Gustavo Olague , J. L. Gordillo

DOI: 10.1007/978-3-319-07491-7_33

关键词:

摘要: Smell sensors in mobile robotics for odor source localization are getting the attention researches around world. To solve problem, it must be considered environmental model and behavior, perception system algorithm tracking odors plume. Current algorithms try to emulate behavior of animals known by its capability follow odors. Nevertheless, systems still infancy far compared with biological smell sense. This is why, an that considers capabilities drawbacks, presented on this work. Besides, artificial intelligent technique (Genetic Programming) used as a platform develop algorithms. It prepared different environment conditions systems. A comparison between improved pair basic techiques terms repeatability.

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