DocumentCode
3045113
Title
The Application of Rough Set Theory in Object Identification of an Intelligent Robot
Author
Hong, Song ; Lianjun, Hu ; Xiaohui, Zeng
Author_Institution
Sch. of Autom. & Electron. Inf. Eng., Sichuan Univ. of Sci. & Eng., Zigong, China
Volume
3
fYear
2009
fDate
19-21 May 2009
Firstpage
107
Lastpage
110
Abstract
In the object identification of mobile robot, the digital signal processor DSP is used as the main central process unit for its high control ability and computing power. Through introducing the rough set theory into the multi-sensor information fusion technology, real-time and fast object identification can be achieved. Results of experiments show the validity and practicability of the method proposed in the paper.
Keywords
digital signal processing chips; intelligent robots; mobile robots; object detection; rough set theory; sensor fusion; DSP; digital signal processor; intelligent robot; main central process unit; mobile robot; multisensor information fusion; object identification; rough set theory; Bandwidth; Digital signal processing; Digital signal processors; Hardware; Infrared sensors; Intelligent robots; Power engineering and energy; Sensor systems; Set theory; Tactile sensors; digital signal processor; robot; rough set theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location
Xiamen
Print_ISBN
978-0-7695-3571-5
Type
conf
DOI
10.1109/GCIS.2009.67
Filename
5209194
Link To Document