Change search
ReferencesLink to record
Permanent link

Direct link
Object localization strategy for a mobile robot using RFID
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2012 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

One of the challenging issues in robotics is to give robots the ability to navigate itself in unknown environment without human help. In this thesis, we explored and evaluated object localization method for a mobile robot using radio-frequency identification (RFID) technology. The workplace included objects with RFID tags, a mobile robot with dual antenna RFID reader and obstacles: chairs, tables and a human. Using RFID reader, we were able to have the mobile robot communicate with the RFID tag to navigate the tagged object.

This research employed the following methods for navigating a mobile robot and locating objects. First, a mobile robot was implemented as Braitenberg vehicle. It used the received signal strength of the RFID tag to compute instantaneously and produce movement of the wheel and generate suitable motion in order to navigate the object. Second, a mobile robot with directional antenna that collects data about relative direction of the interested RFID tag in its local coordinate system and computes tag positions by taking several measurements for different positions of the robot.

Our experiment results showed that proposed RFID system can locate an object and can track the movement of a target object in real time. To verify effectiveness of the system we performed several experiments in the workplace.

Place, publisher, year, edition, pages
, UMNAD, 924
National Category
Engineering and Technology
URN: urn:nbn:se:umu:diva-58763OAI: diva2:550049
Educational program
Master's Programme in Computational Science and Engineering
Available from: 2012-09-06 Created: 2012-09-06 Last updated: 2012-09-18Bibliographically approved

Open Access in DiVA

fulltext(1845 kB)1705 downloads
File information
File name FULLTEXT02.pdfFile size 1845 kBChecksum SHA-512
Type fulltextMimetype application/pdf

By organisation
Department of Computing Science
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 1729 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 296 hits
ReferencesLink to record
Permanent link

Direct link