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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM68364
Volume:
10 |
10 |
Oct 2026
Pages:
1-5
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

Electronics and Communication Engineering
K Ramakrishnan College of Technology
Electronics and Communication Engineering
K Ramakrishnan College of Technology

Electronics and Communication Engineering
K Ramakrishnan College of Technology

Electronics and Communication Engineering
K Ramakrishnan College of Technology

Electronics and Communication Engineering
K Ramakrishnan College of Technology
The increasing demand for independent mobility has encouraged the development of intelligent wheelchair systems that support people with physical disabilities and limited mobility. This paper presents an IoT-Based Smart Wheelchair Navigation system designed to support autonomous movement using IoT sensors and GPS-based location tracking. The proposed system aims to improve user mobility, reduce manual effort, and support safer navigation in indoor and outdoor environments. An ESP32 microcontroller is considered as the central processing unit because of its processing capability and wireless connectivity. Motor driver circuits and DC motors can be used to control wheelchair movement, while appropriate sensors can assist in detecting the surrounding environment. GPS can provide location information, and IoT connectivity can enable remote monitoring and status communication. The current hardware inventory includes an ESP32-WROOM-32, TB6612FNG motor driver, QTR-8RC reflectance sensor array, GA12-N20 DC motors, and a rechargeable battery. These components provide a foundation for developing and testing basic mobile robot navigation; however, dedicated GPS hardware, wheelchair integration, and complete IoT monitoring functions require further implementation and verification. The proposed approach provides a starting point for developing an affordable intelligent mobility assistance system.
KEYWORDS
The proposed IoT-Based Smart Wheelchair Navigation system provides a foundation for developing an intelligent mobility assistance platform by integrating embedded control, sensor-based navigation, and wireless communication. The ESP32-WROOM-32, TB6612FNG motor driver, QTR-8RC reflectance sensor array, and DC motors support the development of a basic robotic navigation prototype. The proposed system requires further development to incorporate reliable obstacle detection, GPS tracking, and a complete IoT monitoring interface. Experimental evaluation of navigation accuracy, response time, communication reliability, and battery endurance is also necessary to assess its performance. Overall, this project establishes a starting point for future smart wheelchair development, with further testing and safety validation required before practical application.
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Publication Date
10/26/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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