DocumentCode
2483465
Title
The Gesture signal filtering of self-balancing robot
Author
Ruan, Xiaogang ; Di, Haijiang ; Liu, Jiang
Author_Institution
Coll. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing
fYear
2008
fDate
25-27 June 2008
Firstpage
2614
Lastpage
2618
Abstract
For the problem that there are many kinds of noises from sensors in the self-balancing robot, many kinds of filters are presented. Using different method, the noise can be filtered. Experimental results demonstrates that the extended Kalman filter is more effective than other filters.
Keywords
Kalman filters; robots; Kalman filter; gesture signal filtering; self-balancing robot; Educational institutions; Information filtering; Information filters; Intelligent control; Intelligent robots; Intelligent sensors; Mobile robots; Robot sensing systems; Robotics and automation; Tellurium; extended Kalman filter; noise; self-balancing robot; sensor;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location
Chongqing
Print_ISBN
978-1-4244-2113-8
Electronic_ISBN
978-1-4244-2114-5
Type
conf
DOI
10.1109/WCICA.2008.4593335
Filename
4593335
Link To Document