Abstract
The representation and mapping of unknown environments for robot navigation is a focus of research that presents great challenges, especially regarding the amount of data involved and the difficulty of dynamically performing computational structures updating. This paper innovates by applying the Adaptive Digitized Straight Line Segment (ADSLS) technique to reduce the amount of data for representing trajectories through the Adaptive Finite Automata (AFA), improving positive results of state of the art works.
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