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
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;
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
DOI :
10.1109/WCICA.2008.4593335
