THE ARCHITECTURE OF THE REMOTE CONTROL SYSTEM OF ROBOTICS OBJECTS

Shavetov Sergey V, Vedyakov Alexei A., Pyrkin Anton Alexandrovich

2014 , VOLUME 14, NUMBER 2 ( MARCH-APRIL )

ISSN 2226-1494 (print), ISSN 2500-0373 (online)

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Vladimir O.
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THE ARCHITECTURE OF THE REMOTE CONTROL SYSTEM OF ROBOTICS OBJECTS

S. V. Shavetov, A. A. Vedyakov, A. A. Pyrkin

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Article in Russian

Abstract

The paper deals with the architecture for the universal remote control system of robotics objects over the Internet global network. Control objects are assumed to be located at a considerable distance from a reference device or end-users. An overview of studies on the subject matter of remote control of technical objects is given. A structure chart of the architecture demonstrating the system usage in practice is suggested. Server software is considered that makes it possible to work with technical objects connected to the server as with a serial port and organize a stable tunnel connection between the controlled object and the end-user. The proposed architecture has been successfully tested on mobile robots Parallax Boe-Bot and Lego Mindstorms NXT. Experimental data about values of time delays are given demonstrating the effectiveness of the considered architecture.

Keywords: remote control, mobile robots, control over the Internet

References

1. Glavbot: veb-igry s robotami i dopolnennoi realˊnostˊyu[Glavbot: web-games with robots and augmented reality]. Available at: http://robotor.ru/2011/04/15/glavbot-interview/. (accessed 28.01.2014).

2. Drive R/C cars over the internet – Joker Racer. Available at: http://www.jokerracer.com. (accessed 28.01.2014).

3. AndrievskyB.R., Matveev A.S., Fradkov A.L. Control and estimation under information constraints: Toward a unified theory of control, computation and communications. Automation and Remote Control, 2010, vol. 71, no. 4, pp. 572-633. doi: 10.1134/S000511791004003X

4. Belousov I.R. Algorithms for internet-based control of a robot manipulator. Mathematical Models and Computer Simulations, 2002, vol. 14, no. 8, pp. 10–15.

5. Fradkov A.L., Andrievsky B., Peaucelle D. Estimation and control under information constraintsfor LAAS Helicopter benchmark. IEEE Transactions on Control Systems Technology, 2010, vol. 18, no. 5, pp. 1180–1187.

6. Nuno E., Ortega R., Jayawardhana B., Basanez L. Networking improves robustness in flexible-joint multi-robot systems with only joint position measurements. European Journal of Control, 2013, vol. 19, no. 6, pp. 469–476. doi: 10.1016/j.ejcon.2013.09.005

7. Sun J., Jiang J. Delay and data packet dropout separately related stability and state feedback stabilisation of networked control systems. IET Control Theory and Applications, 2013, vol. 7, no.3, pp. 333–342. doi: 10.1049/iet-cta.2011.0391

8. Kim W.-J., Ji K., Srivastava A. Network-based control with real-time prediction of delayed/lost sensor data. IEEE Transactions on Control Systems Technology, 2006, vol. 14, no. 1, pp. 182–185. doi: 10.1109/TCST.2005.859630

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