Robust estimation refers to statistical techniques designed to provide reliable parameter estimates even when the data contains outliers or deviates from standard assumptions, such as normality. These methods enhance the resilience of statistical analysis by reducing the influence of anomalous data points, ensuring more accurate and generalizable results.