Advanced robot systems have already substituted the human factor in many
fields of work and we can only imagine what the future will bring. In order for
a robot to be intelligent, to perform better at executing tasks than human,
they need to be autonomous. We developed a robot for Field Robot Event
competition, where it needs to be able to autonomously navigate through a
corn field. In this thesis, we developed a robot application which is respon-
sible for autonomous navigation with LIDAR sensor and proposed how to
improve the navigation with camera recognition. The data collected with
LIDAR usually contains a lot of noise, which we reduce with DBSCAN clus-
tering algorithm. In conclusion, we present the results from the competition,
DBSCAN algorithm, and camera recognition. We also propose a few im-
provements and future plans.
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