Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
Design and Implementation of a Modular Autonomous Vehicle for Less Accessible Areas Using Arduino Uno. |
| Συγγραφείς: |
Barbade, Amar R.1 barbadeamar288@gmail.com, Gad, Prathamesh R.1 prathameshgade9696@gmail.com, Gadhave, Suyash M.1 gadhavesuyash1920@gmail.com, Shaikh, J. H.2 |
| Πηγή: |
International Scientific Journal of Engineering & Management. Jun2026, Vol. 5 Issue 6, p1-7. 7p. |
| Θεματικοί όροι: |
*Indoor positioning systems, *Modular design, *Automation, Autonomous vehicles, Arduino (Microcontroller), Detectors, Radio frequency identification systems |
| Περίληψη: |
Autonomous transportation systems have emerged as a critical component of modern industrial, healthcare, and logistics environments. The transportation of materials, medicines, documents, and equipment in less accessible indoor areas remains largely dependent on manual labor, resulting in increased operational costs, inefficiencies, and delays. This paper presents the design and implementation of a Modular Autonomous Vehicle for Less Accessible Areas using the Arduino Uno microcontroller. The proposed system integrates line-following sensors for path navigation, RFID technology for location identification, ultrasonic sensing for obstacle detection, and servo-assisted mechanisms for enhanced navigation capabilities. A four-wheel drive platform controlled through an L298N motor driver provides reliable mobility and stability across different indoor environments. The vehicle autonomously follows predefined routes, identifies checkpoints through RFID tags, detects obstacles in real time, and provides visual and audible feedback through LED indicators and buzzers. Experimental evaluation demonstrated a line-following accuracy of 95.4%, RFID recognition reliability of 96.2%, obstacle avoidance efficiency of 93.8%, and overall navigation reliability exceeding 94%. The modular architecture enables easy upgrades, maintenance, and customization for applications in hospitals, warehouses, laboratories, and industrial facilities. The proposed solution provides a cost-effective, scalable, and energy-efficient approach for autonomous transportation in constrained indoor environments. [ABSTRACT FROM AUTHOR] |
|
Copyright of International Scientific Journal of Engineering & Management is the property of International Scientific Journal of Engineering & Management and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Βάση Δεδομένων: |
Business Source Index |