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a distance learning model for internet based teleoperation

a distance learning model for internet based teleoperation

III. APPLICATION The

III. APPLICATION The purpose of this application is to develop a collaborative system of e-laboratories in which one may use common resources that are scattered between laboratories, using techniques of augmented reality. Results obtained can be generalized for any collaborative system of e-laboratories. The hardware subsystem of such a distributed multi-robot environment is composed by one robot, an AGV (Automated Guided Vehicle) and a milling machine (MM) (or other FMS components available in the mechatronic labs), communication interfaces, data acquisition controllers, one server (PC) for every lab and one video camera (VC) for every lab - figure 2.a. Robot VC VC PC PC MM VC PC INTERNET MM AG V a ML Robot AGV Robot AGV b c Figure 2. The architecture (a) and the virtual layout (b, c) of the system

According to this architecture, the whole system can be seen as a multi-camera environment, but it is more complex. The software architecture is based on a complex distributed application running on three servers, which offers access to the people interested in robot manipulation for studying different methods of cooperation between robots or for learning mechatronic subjects. The software technologies are based on Java. A specific protocol over TCP/IP will be designed for communication between the three servers. A difficult task is the development of such a protocol to support plug in of new labs to the kernel in order to create a network of labs. Development of the collaborative network from e-laboratories will permit the realization of a scattered flexible cell, structured from an AGV belonging to the first lab, which brings the virtual piece further taken by a robot in a laboratory belonging to the second lab and placed on a milling machine in a laboratory belonging to the third lab, where it is virtually processed and then taken again by the robot and brought out of the system by the AGV. The virtual layout of the system is presented in figures 2.b, 2.c. Using augmented reality, virtual reality from two of the laboratories is superposed over materialized effective reality in the third laboratory. Therefore, a command given by a user to one of the robots is reflected in real-time in augmented reality to the other users. IV. CONCLUSIONS There is a strong need for identifying suitable strategies for effective e-Learning implementation and we have provided an e-learning application capable of offering students great help in getting accustomed to remote robot manipulation via Internet. The proposed system helps students perform practice experiments from any location, at any time, in their own learning rhythm and for how much time they need. In addition, this tool can be used to test new control schemes over a variety of physical equipment. E-learning cannot be applied everywhere and for everyone, therefore a survey based on students’ opinion (as a future aspect to be considered) - on which way they feel more comfortable to work and learn: a traditional laboratory or a virtual one - should be taken and, depending on these results, further action in the students’ benefit should be considered. Moreover, by this survey, the students’ level of understanding can be determined before and after using this distance learning model for internet based teleoperation. ACKNOWLEDGEMENT The authors were supported by the Faculty of Management and Technological Engineering, and they contributed to this paper with results of their investigations on Robotics & Virtual Reality and advanced computing methodologies according to the research program of the UNESCO Chair in Information Technologies at University of Oradea. BIBLIOGRAPHY [1] Steffen Staab, Heiner Stuckenschmidt, SemanticWeb and Peer-to-Peer - Decentralized Management and Exchange of Knowledge and Information, ISBN-10 3-540-28346-3, Springer- Verlag Berlin Heidelberg 2006 [2] Bill Brandon, 339 Tips on LMS/LCMS Implementation, The eLearning Guild 2006 [3] Natasa Hoic-Bozic, Vedran Mornar, and Ivica Boticki, A Blended Learning Approach to Course Design and Implementation, IEEE Transactions on Education, vol. 52, no. 1, February 2009 [4] A. Ivanescu, Ioana Barda, Fl. Popentiu-Vladicescu, Distance Learning Answering Students' Needs; The example of the Interactive e-Learning Environment (IELE), The 4th International Scientific Conference eLSE "eLearning and Software for Education", Bucharest, April 17-18 2008, pp. 81-88 , ISBN: 978-973-749-362-0. [5] Juan D. Velásquez, Vasile Palade, Adaptive Web Sites - A Knowledge Extraction from Web Data Approach, ISBN 978-1-58603-831-1, IOS Press, 2008

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