Simulation research of location system for fire detecting robot

Author

Yang, Qingmei ; Sun, Jiammin

Author_Institution

Coll. of Autom., Beijing Union Univ., Beijing, China

fYear

2009

fDate

5-7 Aug. 2009

Firstpage

2036

Lastpage

2039

Abstract

The multi-sensor information fusion has received great attention due to extensive application backgrounds. Information fusion methods are introduced. An autonomous robot used in environmental sensitive regions to detect fire is studied. Its measurement technology is a key to ensure that the robot move autonomously. The integrated measure system of the robot is designed to improving precise and reliable measurement information of the robot. The measurement information is fused with a information fusion algorithm. The measurement system is simulated with Matlab. The results show that the fusion location can improve the precision of measurement system efficiently.

Keywords

Global Positioning System; Kalman filters; fires; mathematics computing; mobile robots; position control; sensor fusion; Matlab; autonomous robot; fire detecting robot; integrated measure system; location system; multi sensor information fusion; simulation research; Fires; Fuses; Fuzzy neural networks; Fuzzy systems; Global Positioning System; Intelligent sensors; Robot kinematics; Robot sensing systems; Robotics and automation; Sensor fusion; GPS; Information fusion; Kalman filter; Measure system;

fLanguage

English

Publisher

ieee

Conference_Titel

Automation and Logistics, 2009. ICAL '09. IEEE International Conference on

Conference_Location

Shenyang

Print_ISBN

978-1-4244-4794-7

Electronic_ISBN

978-1-4244-4795-4

Type

conf

DOI

10.1109/ICAL.2009.5262603

Filename

5262603