We know outlier obs should be remove from factor analysis.
What kind of outlier should be removed and use which function in R?
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When the data don't fit the model, don't change the data, change the model.
I would only remove outliers for factor analysis if the data were entered incorrectly or clearly wrong (e.g. a 7 meter tall human). Because if you remove correct data from your sample, then the factor analysis is fitting a non-random sample of your data - indeed, a deliberately biased sample of your data. What will you do with the output?
However, what remedy I would take depends on the individual case, and, since you have not told us anything about your data or what you are trying to do, there's not much more to say.