Robust statistics is a branch of statistics designed to provide methods that are not unduly affected by outliers or violations of assumptions by the underlying data-generating process. It aims to produce estimators and tests that remain reliable under a wide range of conditions, ensuring more accurate and meaningful results in real-world data analysis.