How sensitive is portfolio optimization to minor changes in expected returns when we specify the problem properly?

Textbook examples illustrate that if we optimize portfolios with just return or risk targets, the results are very sensitive to expected return estimates.

But what happens when we include real-world aspects such as tracking error constraints, transactions costs and explicitly account for parameter uncertainty?