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Mobility Improvement of an Internet-based Robot System Using the Position Prediction Simulator  

Lee Kang Hee (Department of Mechanical Engineering, KAIST)
Kim Soo Hyun (Department of Mechanical Engineering, KAIST)
Kwak Yoon Keun (Department of Mechanical Engineering, KAIST)
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Abstract
With the rapid growth of the Internet, the Internet-based robot has been realized by connecting off-line robot to the Internet. However, because the Internet is often irregular and unreliable, the varying time delay in data transmission is a significant problem for the construction of the Internet-based robot system. Thus, this paper is concerned with the development of an Internet-based robot system, which is insensitive to the Internet time delay. For this purpose, the PPS (Position Prediction Simulator) is suggested and implemented on the system. The PPS consists of two parts : the robot position prediction part and the projective virtual scene part. In the robot position prediction part, the robot position is predicted for more accurate operation of the mobile robot, based on the time at which the user's command reaches the robot system. The projective virtual scene part shows the 3D visual information of a remote site, which is obtained through image processing and position prediction. For the verification of this proposed PPS, the robot was moved to follow the planned path under the various network traffic conditions. The simulation and experimental results showed that the path error of the robot motion could be reduced using the developed PPS.
Keywords
Internet-based robot; PPS (Position Prediction Simulator); VRML; EAI; Time delay;
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