We consider the problem of change point detection for high-dimensional distributions in a location family when dimension can be much larger than sample size. In analysis, widely used cumulative sum (CUSUM) statistics are sensitive to outliers and heavy-tailed distributions. this paper, we propose robust, tuning-free (i.e., fully data-dependent), easy-to-implement test that enjoys strong theoret...