DocumentCode
2638744
Title
Initial state observer design for self-localization of mobile robots
Author
Higuchi, Muneaki ; Nakamura, Hisakazu ; Nishitani, Hirokazu
Author_Institution
Nara Inst. of Sci. & Technol., Nara
fYear
2007
fDate
17-20 Sept. 2007
Firstpage
1039
Lastpage
1042
Abstract
In this paper, we introduce a sensor fusion method for position locations of mobile robots using an initial state observer and propose a gain calculation method. We confirm the effectiveness of the proposed method by experiments. Experimental results illustrate the initial state observer based sensor fusion method with proposed gain calculation method has almost the same performance as EKF. Moreover, the proposed method imposes much smaller computational cost than EKF. Finally, our proposed method is confirmed as a robust estimation method for time variation.
Keywords
Kalman filters; estimation theory; mobile robots; nonlinear filters; observers; position control; robust control; sensor fusion; extended Kalman filter; gain calculation; mobile robot; position location; robust estimation; self-localization; sensor fusion; state observer design; time variation; Computational efficiency; Design methodology; Information science; Mobile robots; Observers; Performance gain; Robot control; Robustness; Sensor fusion; State estimation; Mobile Robot; Self Localization; Sensor Fusion;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE, 2007 Annual Conference
Conference_Location
Takamatsu
Print_ISBN
978-4-907764-27-2
Electronic_ISBN
978-4-907764-27-2
Type
conf
DOI
10.1109/SICE.2007.4421137
Filename
4421137
Link To Document