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
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;
Conference_Titel :
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3571-5
DOI :
10.1109/GCIS.2009.67
