Design of Multi-Intelligent Robot Wireless Communication System Based on ZigBee Automation Control

Abstract:

This paper designs a new ZigBee intelligent robot communication control system, which realizes one to many data transmission. Upper computer can send commands to control multiple mobile intelligent robots to do the action response through wireless module. Slave computer can also send data to host computer to achieve remote monitoring, and has high relay ability. In order to verify the effectiveness and reliability of the system, this paper tests the system and obtains 3D signal and robot node control distribution. Through the analysis of the system time delay and control signal features, we found that the system has good stability, which can satisfy the design need of multi-intelligent robot control. It provides the theoretical reference for the study of ZigBee automation control.

• Periodical: Applied Mechanics and Materials (Volumes 716-717)
• Pages: 1604-1608
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.716-717.1604
• Online since: December 2014
• Authors: Jie Chen*, Huo Gen Xiong
• Keywords: Control Signals, Host Computer, Intelligent Control, Multi-Robot, Time Delay, ZigBee Technology

References

[1] P. Zhao, B. Lu. DaVinci technology: development of DM6467 platform algorithm. Modern telecommunications technology, 2011, 2(4): 38-39.

[2] H.W. Kuang, K.G. Hao, Y.S. Ding. Dynamic visual servo method of the robot grasping moving object. Computer engineering, 2012, 36(18): 232-237.

[3] W.X. Cao, X.M. Feng. The research status and development trend of industrial robot. Machinery, 2011, 49(2): 41-43.

[4] Q.J. Zhao, D.B. Zhao, H. Wei. Application of Harris-SIFT algorithm in the binocular stereo vision. Journal of University of Electronic Science and technology, 2011, 39(4): 546-550.

[5] C.M. Zhang, Z.H. Gong, Sun Lei. Application of improved SIFT feature in image matching. Computer engineering and applications, 2012, 44(2): 95-96.

[6] R. Bi, M.M. Dang. Present situation and development trend of intelligent transportation system standardization. Telecommunication network technology, 2011, 4(3): 44-47.

[7] Y.J. Li, C. Ming. Our industrial robot industry situation and development strategy. Manufacturing automation, 2010, 33(12): 106-108.

[8] X.B. Chen, S.N. Li, J.J. Zhu. The concept of spatial-temporal data model and classification of. Marine surveying and mapping, 2011, 29(5): 74-76.

[9] M.H. Hao, F. Song, B.Y. Song. Research on NC instruction interpretation on NC simulation system. Machine tool & hydraulics, 2011, 2(10): 176-178.

[10] C.J. Xue, J. Xie. Current status and prospect of the study on spatial-temporal data model. Geography and geo information science, 2012, 26(1): 1-6.

[11] T.T. Chen, Y.D. Zhang. The network communication problem of robot soccer simulation platform. Journal of Wuhan Institute of Technology: Natural Science Edition, 2013, 31(3): 70-73.

[12] T. Song. Development of service robot multi-freedom degree hands coordination of mechanical system. Shanghai University, 2012: 2-15.