Can I apply AdaBoost on a random forest?

I know the random forest is a bagging technique. But what if my random forest overfits on a dataset, so I reduce the depth of the decision tree and now it is underfitting. In this scenario, can I take the under-fitted random forest with little depth and try to boost it?