Abstract
This paper presents design concepts of a reconfiguration mobile robot developed in Hannam University and experimental results of position estimation by multiple sensors. In order to achieve high reliability and mobility in maneuver, driving motors of the mobile robot are assembled inside the wheels of the mobile robot, and the rhombus-shaped structure of the mobile robot with four wheels yields as good adaptability to rough terrain as a six-wheel mobile robot. Since the proposed mobile robot receives multiple sensor signals from odometers and an orientation sensor, states related to position and orientation of the mobile robot are optimally calculated by the extended Kalman filter. Experimental results show that tracking errors of the mobile robot can be reduced remarkably by the optimal state observer.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
