| Issue |
MATEC Web Conf.
Volume 417, 2025
2025 RAPDASA-RobMech-PRASA-AMI Conference: Bridging the Gap between Industry & Academia - The 26th Annual International RAPDASA Conference, joined by RobMech, PRASA and AMI, co-hosted by CSIR and Tshwane University of Technology, Pretoria
|
|
|---|---|---|
| Article Number | 08001 | |
| Number of page(s) | 13 | |
| Section | Product Design and Development | |
| DOI | https://doi.org/10.1051/matecconf/202541708001 | |
| Published online | 25 November 2025 | |
A multifunctional adjustable work desk using Arduino mega microcontroller and motors
1 Nelson Mandela University, Department of Mechatronics, Gqeberha, South Africa
2 Nelson Mandela University, Department of Mechatronics, Gqeberha, South Africa
3 Nelson Mandela University, Department of Electrical Engineering, Gqeberha, South Africa
* Corresponding author: patricia.khwambala@mandela.ac.za
The paper details the mechanical, electrical, and programming for designing and developing a multi-functional adjustable desk with automated height and tabletop tilting capabilities. The electrical system, featuring an Arduino Mega microcontroller, reads inputs from a control panel to control the linear actuators for height adjustment and a stepper motor for the unique tilting feature. Through rigorous testing, the desk achieved smooth, synchronised movements and reliable positioning at any height or angle. The work undertaken highlights the importance of motor control optimization. Additionally, the prototype achieved an error range of less than 1% for the zero-degree operation, and less than 1.5% for the ninety-degree operation. The developed desk is a high-quality, robust solution that integrates seamlessly into diverse working environments.
© The Authors, published by EDP Sciences, 2025
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.

