Study on the Architecture and Motion Control of the Traverse Robot

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Abstract:

In order to keep the problem of robot obstacle avoidance and the traversal motion control simple, the performance and characteristics of the traverse robot are described firstly, followed the architecture of horizontal and vertical was adopted, and the traversal robots based on hybrid architecture was designed independently, also, the architecture met the performance needs of the traverse robot. Then the kinematic model of the robot was created and analyzed, and the motion control strategy based on the traversal robot was obtained. The strategy not only simplified the movement of the traversal robot, but it also completed the different methods of obstacle avoidance, which ensure the efficiency and reliability of the overall running of traversal robots.

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Advanced Materials Research (Volumes 712-715)

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2249-2254

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June 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Xinsong Jiang. Introduction to the Robotics. Liaoning Science and Technology Publishing House, (1994). (In Chinese)

Google Scholar

[2] Xijun Chen. Study on the Architecture and Motion Control of Mobile Robot CASIA-I. Institute of Automation. Chinese Academy of Sciences, (2003). (In Chinese)

Google Scholar

[3] Guohua Xu, MinTan. Development Situation and Trend of the Mobile Robot. Robot technology and application. Forum Vol. 3(2001), pp.7-14. (In Chinese)

Google Scholar

[4] D.W. Payton. Internalized Plans:A Representation for Action Resource. Robotics and Autonomous Systems. Forum Vol. 6 (1990), pp.89-103.

DOI: 10.1016/s0921-8890(05)80030-2

Google Scholar

[5] R.A. Brooks. New Approaches to Robotics. Science. Forum Vol. 253(1991), pp.1227-1232.

Google Scholar

[6] R.A. Brooks. From carwigs to humans. Robotics and Autonomous Systems. Forum Vol. 20 (1997), pp.291-304.

Google Scholar

[7] R.G. Simmons. Structured Control for Autonomous Robots. IEEE Transactions on Robotics and Automation. Forum Vol. 10(1) (1994), pp.34-43.

DOI: 10.1109/70.285583

Google Scholar

[8] L.E. Parker. L-ALLANCE: Task-Oriented Multi-Robot learning in Behavior-based Systems. Advanced Robotics. Forum Vol. 11(4), (1997), pp.305-322.

DOI: 10.1163/156855397x00344

Google Scholar

[9] Saridis D.R. Toward the Realization of Intelligent Controls. Proceedings of the IEEE. Forum Vol. 11(4), (1979), pp.305-322.

Google Scholar

[10] Charles E Thorpe, Steven A Shafer, Takeo Kanade, Vision and Navigation for the Carnegie Mellon Navlad, The Robotics Institute 1986 Annual Research Review(1986), pp.7-19.

Google Scholar

[11] Amol.D.Mali. Marker-Augmented Robot-Environment Interaction. Proceedings of the 1999 IEEE International Conference on Robotics & Automation, Detroit, Michigan, May 1999.

DOI: 10.1109/robot.1999.770049

Google Scholar

[12] H. Xu, H. Van Brussel. A Behavior-Based Blackboard Architecture for Effective Reactive Task of Autonomous Robots. Autonomous Robots. Forum Vol. 22(2), (1997), pp.115-132.

DOI: 10.1016/s0921-8890(97)00035-3

Google Scholar

[13] Yiwen Zhao. Study on the architecture of Mobile robot and coordination planning of the multi-robot. Beijing: Chinese Academy of Sciences, Shenyang Institute of Automation (2000). (In Chinese)

Google Scholar