Data interpolation is a mathematical method used to estimate unknown values that fall within a range of known data points. This technique is crucial in scenarios where precise measurements may not be available, allowing for the creation of a continuous function from discrete data. In the context of proprioceptive sensors and encoders, data interpolation helps improve accuracy by filling in gaps and providing smoother transitions between sensor readings.
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