M-estimators are a broad class of estimators in statistics used for robust regression by minimizing a generalized form of the residuals. They provide a flexible alternative to least squares estimators, allowing for the handling of outliers and deviations from assumptions like normality of errors, thereby improving the reliability of statistical models.