DocumentCode
2754537
Title
Notice of Retraction
The Research of Intelligent Control System of Autonomous Mobile Robot
Author
Sun Jie ; Zhang Jinqiang
Author_Institution
Coll. of Comput. & Autom. Control, Hebei Polytech. Univ. Tangshan, Tangshan, China
fYear
2009
fDate
5-6 Dec. 2009
Firstpage
241
Lastpage
244
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
With the development of computer and robot technology, in industrial manufacturing, military, civilian, scientific research and so on, the modern mobile robots have been more and more widely application. Based on the analysis of a multi-information fusion technology and path planning algorithm, fuzzy control is discussed using the program of mobile robot collision avoidance, obstacle avoidance.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
With the development of computer and robot technology, in industrial manufacturing, military, civilian, scientific research and so on, the modern mobile robots have been more and more widely application. Based on the analysis of a multi-information fusion technology and path planning algorithm, fuzzy control is discussed using the program of mobile robot collision avoidance, obstacle avoidance.
Keywords
collision avoidance; fuzzy control; intelligent control; mobile robots; sensor fusion; autonomous mobile robot; civilian; collision avoidance; computer technology; fuzzy control; industrial manufacturing; intelligent control system; military; multi-information fusion technology; obstacle avoidance; path planning algorithm; robot technology; scientific research; Application software; Computer aided manufacturing; Computer industry; Defense industry; Electrical equipment industry; Intelligent control; Manufacturing industries; Military computing; Mobile robots; Service robots; Autonomous Mobile Robot; Collision Avoidance; Multi-Information Fusion; Obstacle Avoidance; Path Planning Algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
E-Learning, E-Business, Enterprise Information Systems, and E-Government, 2009. EEEE '09. International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-0-7695-3907-2
Type
conf
DOI
10.1109/EEEE.2009.30
Filename
5359344
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