Issue |
MATEC Web Conf.
Volume 87, 2017
The 9th International Unimas Stem Engineering Conference (ENCON 2016) “Innovative Solutions for Engineering and Technology Challenges”
|
|
---|---|---|
Article Number | 05001 | |
Number of page(s) | 6 | |
Section | Electrical and Electronic Engineering | |
DOI | https://doi.org/10.1051/matecconf/20178705001 | |
Published online | 04 August 2017 |
Arrow-bot: A Teaching Tool for Real-Time Embedded System Course
Advanced Mechatronics Research Group (ADMIRE), Department of Mechatronics and Robotics Engineering, Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, 86400 Batu Pahat, Johor, Malaysia
a Corresponding author: mfauzi@uthm.edu.my
This paper presents the design of a line following Arduino-based mobile robot for Real-Time Embedded System course at Universiti Tun Hussein Onn Malaysia. The real-time system (RTS) concept was implementing is based on rate monotonic scheduling (RMS) on an ATmega328P microcontroller. Three infrared line sensors were used as input for controlling two direct current (DC) motors. A RTS software was programmed in Arduino IDE which relied on a real-time operating system (RTOS) of ChibiOS/RT library. Three independent tasks of software functions were created for testing real-time scheduling capability and the result of temporal scope was collected. The microcontroller succeeded to handle multiple tasks without missed their dateline. This implementation of the RTOS in embedded system for mobile robotics system is hoped to increase students understanding and learning capability.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.