DocumentCode
138199
Title
Pose estimation of servo-brake-controlled caster units arbitrarily located on a mobile base
Author
Saida, Momoko ; Hirata, Yasuhisa ; Kosuge, Kazuhiro
Author_Institution
Dept. of Bioeng. & Robot., Tohoku Univ., Sendai, Japan
fYear
2014
fDate
14-18 Sept. 2014
Firstpage
3456
Lastpage
3462
Abstract
In this paper, we propose a method to estimate the geometrical relationships between servo-brake-controlled caster units arbitrarily located on a moving base. The method utilizes only the velocity information of each caster unit and recursively estimates the pose of the caster units by the extended Kalman filter. In the state estimation problem, the estimation performance depends on the quality of the input signals. The input signals must contain sufficiently rich information to appropriately estimate the states. Since the system controlled by servo brakes is driven by a user-applied force, the user can arbitrarily select the input signals of velocity information. Therefore, we also suggest a simple pattern that enables users to provide sufficiently rich information for relationship estimates. Finally, the proposed method is validated in a computer simulation and an experiment using a mobile robot platform equipped with double-wheel caster units.
Keywords
Kalman filters; brakes; mobile robots; pose estimation; servomechanisms; state estimation; computer simulation; double-wheel caster units; extended Kalman filter; input signal quality; mobile base; mobile robot platform; pose estimation; servo-brake-controlled caster units; state estimation problem; user-applied force; velocity information; Estimation; Mobile robots; Noise; Servomotors; Shafts; Wheels;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Robots and Systems (IROS 2014), 2014 IEEE/RSJ International Conference on
Conference_Location
Chicago, IL
Type
conf
DOI
10.1109/IROS.2014.6943044
Filename
6943044
Link To Document