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Universiti Tun Hussein Onn Malaysia

Design and implementation of multiple user mobile robot following system

Abstract

dc:description.abstract

Recently automation product for intelligent robot is increasingly getting very common. By the help of intelligent robot technologies that increased comfort, greater safety and security, life has been becoming easier [1]. With this system, mobile robot can be controlled from any target. It is desirable in many applications for a mobile robot to track and follow a person. The purpose of this thesis is to detail the design and implementation of a mobile robot following system through the use of beacons and remote control encoder decoder. This project entailed the design and construction of a mobile robot with the capability of determining its location in reference to know reference points and correct address. The implementation involved the use of ultrasound to determine the distance between the robot and known reference points and infrared decoder and decoder to determine the correct leader. From the distance, the Cartesian coordinates for the robot’s location along the horizontal plane where determined. The produced robot was capable of navigating within a 2m by 2m square area successfully. Possible source of error can be attributing to round of error due to conversion from floating point to integer as well as errors within the reflection of ultrasound frequency used to synchronize beacon transmission.

Degree

thesis:*
Name dc:type.qualificationname
mphil
Level dc:type.qualificationlevel
masters
Grantor dc:publisher.institution
Universiti Tun Hussein Onn Malaysia
Year dc:date.issued
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Hasan, Zahari

Subjects

dc:subject × 1

Rights

Language dc:language
en

Chain of custody

source
Harvested from
Universiti Tun Hussein Onn Malaysia
Base URL
eprints.uthm.edu.my/cgi/oai2
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Hasan, Zahari. Design and implementation of multiple user mobile robot following system. masters thesis, Universiti Tun Hussein Onn Malaysia, 2015.