Rama Estudiantil FIE-IEEE

Logic of the Robots

The logic also known as fuzzy logic is basically that interprets the robot to face problems or real-world systems, these can be complex or dynamic, depending on how many dimensions you have a system that is characterized by manual or mathematical models.

Furthermore, schemes are based on fuzzy rules based on knowledge of the type IF, which is the condition that is the background. and Then type rule, which means that action is the succession of the rule.

After defining a map, which is the view that has a robot on a two-dimensional or three-dimensional space. The problem with this approach is that robotics logic implementation requires huge resources and processing memory, capable of storing complex maps with high detail, so that the data are truly useful to guide the robot's behavior.