Tele-learning experiments with hardware require information about the working environment and the equipment status as a base. Scenarios with limited bandwidth are of interest for mobile devices as well as for users in areas with a poor telecommunication infrastructure. While camera images provide a realistic view on the remote scene, they need a high bandwidth for quality pictures. In this context an approach to replace transmission of video images is presented. At the example application of tele-learning experiments with mobile robots, data about vehicle position and orientation are essential. This input is to be determined by external tracking systems. The preprocessed sensor information can be sent via internet link even under very low bandwidth conditions. On the students side the robot is visualized in its work space in two- or three-dimensional virtual environments depending on the performance of the used computer. The paper describes the external tracking as well as the remote interface enabling access to the experiments under different conditions and reports about experiences in using this infrastructure.