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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 3 Issue 2, 2012.
Abstract: The Robotic Remote Laboratory (RRL) controls the Robot labs via the Internet and applies the Robot experiment in easy and advanced way. If we want to enhance the RRL system, we must study requirements of the Robot experiment deeply. One of key requirements of the Robot experiment is the Control algorithm, which includes all important activities to affect the Robot; one of them relates the path or obstacle. Our goal is to produce a new design of the RRL that includes a new treatment to the Control algorithm which depends on isolating one of the Control algorithm's activities that relates the paths in a separated algorithm, i.e., design the (Path planning algorithm) is independent of the original Control algorithm. This aim can be achieved by depending on the light to produce the Light obstacle. To apply the Light obstacle, we need to hardware (Light control server and Light arms) and software (path planning algorithm).The NXT 2.0 Robot will sense the Light obstacle depending on its Light sensor. The new design has two servers: one for the path (Light control server) and other for the other activities of the Control algorithm (Robot control server).The website of the new design includes three main parts (Lab Reservation, Open Lab, Download Simulation).We proposed a set of scenarios for organizing the reservation of the Remote Lab. Additionally, we developed an appropriate software to simulate the Robot and to practice it before using the Remote lab.
Mohammad R Kadhum and Seifedine Kadry, “New design of Robotics Remote lab ” International Journal of Advanced Computer Science and Applications(IJACSA), 3(2), 2012. http://dx.doi.org/10.14569/IJACSA.2012.030214
@article{Kadhum2012,
title = {New design of Robotics Remote lab
},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2012.030214},
url = {http://dx.doi.org/10.14569/IJACSA.2012.030214},
year = {2012},
publisher = {The Science and Information Organization},
volume = {3},
number = {2},
author = {Mohammad R Kadhum and Seifedine Kadry}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.