In this paper a development of a distance learning system using virtual reality and augmented techniques will be presented, having two research directions: use of augmented reality applications in the development of e-labs for students, master students and researchers, and learning systems and simulation of robotic systems respectively, based on movements in a virtual reality environment. Development of the e-lab application involves the realization of calibration of the sensors and the existence of a communication system that uses the Internet. The robot system controlled remotely via the Internet is a 5-axis Mitsubishi RV-M1 Movemaster and it's task is to manipulate various objects placed on a checkered table. The scene is viewed by a CCD camera and the images are transmitted over the Internet to the computer of the human operator. The computer determines the position and orientation of each object and then the human operator places the order of handling to the robot - order which is transmitted via the Internet. Y., Kansal, S., Choudhary, Forecasting the Reliability of Software via Neural Networks, International Journal of Computer Science and Information Technologies, Vol. 5 (2) , 2014, 2658-2661 A., Colin , I., Puaut, Worst Case Execution Time Analysis for a Processor with Branch Prediction, The International Journal of Time-Critical Computing Systems, 18, 249-274 (2000), 2000 Kluwer Academic Publishers, Boston. Manufactured in The Netherlands. C., Zhong Xu, Le Yi Wang, N., Tai Fong, Stochastic Prediction of Execution Time for Dynamic Bulk Synchronous Computations, The Journal of Supercomputing, 21, 91-103, 2002, Kluwer Academic Publishers. J., Hansen, R., Nelson, Time-series analysis with neural networks and ARIMA-neural network hybrids. Journal of Experimental and Theoretical Artificial Intelligence, 15(3), 315-330. 2003.

Augmented Reality, E-lab Development, E-labs For Students, Image Processing, Inovative Robot Control