Proceedings of the Widyatama International Conference on Engineering 2024 (WICOENG 2024)

Design and Development of an IoT-Enabled Omni-Directional Robot for Indoor Urban Area Delivery System

Authors
Mochamad Irham Syahadi1, *, Arvanida Feizal Permana2, Rizal Nurjaman3, Hsiung-Cheng Lin1
1Department of Electronic Engineering, National Chin Yi University of Technology, Taichung City, Taiwan
2Graduate Institute of Prospective Technology of Electrical Engineering and Computer Science, National Chin Yi University of Technology, Taichung City, Taiwan
3Department of Refrigeration, Air-Conditioning, and Energy Engineering National Chin Yi University of Technology, Taichung City, Taiwan
*Corresponding author. Email: mahrisyahadi@gmail.com
Corresponding Author
Mochamad Irham Syahadi
Available Online 29 December 2024.
DOI
10.2991/978-94-6463-618-5_9How to use a DOI?
Keywords
Omni-directional robot; indoor urban delivery; ultrasonic sensor; IoT-enabled robot
Abstract

This paper presents the design and development of an IoT-enabled omni-directional robot for indoor urban delivery systems, addressing the challenges posed by confined spaces, frequent human interaction, and dynamic obstacles in urban indoor environments such as offices, malls, and hospitals. Traditional wheeled robots often lack the maneuverability needed to navigate efficiently in such spaces, which leads to operational inefficiencies and limits their practical use in automated delivery. To overcome these challenges, the proposed robot is equipped with omni-directional wheels, providing it with the ability to move in any direction without needing to rotate. This feature allows for enhanced mobility, especially in narrow or crowded areas. Additionally, ultrasonic sensors are integrated into the system for real-time obstacle detection and avoidance, ensuring the robot can autonomously navigate complex environments while avoiding collisions. The robot is controlled by an Arduino UNO microcontroller, and an ESP32 module provides IoT connectivity, enabling real-time monitoring, data transmission, and remote control of delivery operations. The robot’s performance was evaluated in a simulated urban indoor environment, where it successfully navigated confined spaces, avoided obstacles, and completed delivery tasks efficiently. Experimental results demonstrated the robot’s effectiveness in autonomous navigation and obstacle avoidance, making it a viable solution for indoor delivery applications. Future work will focus on improving the system’s autonomy by incorporating advanced sensors such as LIDAR for more precise mapping and obstacle detection. Additionally, optimization of the power management system and the integration of machine learning algorithms for route optimization are proposed to enhance the robot’s performance in larger and more complex environments.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

Volume Title
Proceedings of the Widyatama International Conference on Engineering 2024 (WICOENG 2024)
Series
Advances in Engineering Research
Publication Date
29 December 2024
ISBN
978-94-6463-618-5
ISSN
2352-5401
DOI
10.2991/978-94-6463-618-5_9How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Mochamad Irham Syahadi
AU  - Arvanida Feizal Permana
AU  - Rizal Nurjaman
AU  - Hsiung-Cheng Lin
PY  - 2024
DA  - 2024/12/29
TI  - Design and Development of an IoT-Enabled Omni-Directional Robot for Indoor Urban Area Delivery System
BT  - Proceedings of the Widyatama International Conference on Engineering 2024 (WICOENG 2024)
PB  - Atlantis Press
SP  - 76
EP  - 83
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-618-5_9
DO  - 10.2991/978-94-6463-618-5_9
ID  - Syahadi2024
ER  -