This paper studies the problem of mobile robot mapbuilding using a low-accuracy RFID sensor. In recent years, there has been increasing number of mobile robot systems using RFID landmarks. A difficulty arises from the fact that the characteristics of RFID sensors are quite electrically-sensitive, which makes the mapbuilding process difficult to converge. Our solution is to integrate a robust multiscan-based online sensor model within an SGD framework of map-optimization, which significantly improves the convergence and accuracy.