Arduino-Based Smart Wheelchair with Obstacle Detection and Joystick Control

Authors

  • Tanu Choudhary, Vaishnavi Dubey, Vivek Kumar Mishra, Shashank Raj, Shivam Kumar

Keywords:

Smart Wheelchair, Arduino UNO, Obstacle Detection, L298N Motor Driver, Ultrasonic Sensor, Joystick Control, Assistive Technology, Embedded Systems, Mobility Aid.

Abstract

Mobility assistance devices play a vital role in improving the quality of life for individuals with physical disabilities, paralysis, age-related limitations, or impaired motor functions. Conventional manual wheelchairs require significant physical effort, while commercially available smart or motorized wheelchairs are often expensive and inaccessible. This paper presents the design and development of a Smart Wheelchair using Arduino UNO, aimed at providing an affordable, safe, and user-friendly mobility solution. The proposed system integrates Arduino UNO, ultrasonic sensors, joystick control, and an L298N motor driver to enable intelligent navigation. The wheelchair responds to user input through a joystick and employs real-time obstacle detection to prevent collisions by automatically stopping or altering movement. The microcontroller processes sensor data and generates appropriate motor control signals, ensuring smooth and precise movement in forward, backward, and turning directions. The system is designed to be low-cost, modular, and easily scalable. Experimental testing confirms that the wheelchair successfully detects obstacles, provides stable movement, and enhances user safety.

References

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M. A. Khan, N. Akhtar, and A. Hussain, "Design and implementation of a low-cost smart wheelchair using Arduino," IEEE International Conference on Emerging Technologies, 2019.

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R. K. Kodali, V. Jain, and L. Boppana, "IoT based smart mobility and health monitoring system," IEEE, 2018.

T. Choudhary, V. Dubey, V. K. Mishra, S. Raj, and S. Kumar, "Smart Wheelchair Using Arduino UNO," Major Project Report, Department of Electronics and Communication Engineering, Lakshmi Narain College of Technology, Bhopal, 2025–26.

N. Sharma and A. Tiwari, "Embedded system based assistive device for mobility impaired persons," International Journal for Multidisciplinary Research, vol. 5, issue 2, 2023.

P. Verma, S. Singh, and D. Patel, "A Review on Smart Wheelchair Technologies," International Journal of Creative Research Thoughts, vol. 10, issue 4, 2022.

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How to Cite

Tanu Choudhary, Vaishnavi Dubey, Vivek Kumar Mishra, Shashank Raj, Shivam Kumar. (2026). Arduino-Based Smart Wheelchair with Obstacle Detection and Joystick Control. International Journal of Research & Technology, 14(2), 1388–1393. Retrieved from https://ijrt.org/j/article/view/1458

Issue

Section

Original Research Articles

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