Fuzzy logic controllers are systems that utilize fuzzy logic to handle the uncertainty and imprecision of real-world data, allowing for more flexible decision-making in control processes. By mimicking human reasoning, these controllers can interpret vague input and provide precise output, making them ideal for complex systems where traditional binary logic falls short. This approach is particularly beneficial in situations that require nuanced responses to varying degrees of input, which is essential in advanced robotic applications.
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