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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM61424

HAND GESTURE CONTROLLED ROBOTIC CAR USING ESP32

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM61424

Volume:

10 |

4 |

April 2026

Pages:

1-5

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM61424

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.

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Authors

MJS

Mohammed Juned Shaikh

Department of Computer Engineering,

Rizvi College of Engineering, Bandra, Mumbai, India

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AK

Alisha Khan

Department of Computer Engineering,

Rizvi College of Engineering, Bandra, Mumbai, India

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CMB

CP Mohd Bakar

Department of Computer Engineering,

Rizvi College of Engineering, Bandra, Mumbai, India

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SAF

Shaikh Arshi Fatma

Department of Computer Engineering,

Rizvi College of Engineering, Bandra, Mumbai, India

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IM

Izhar Mulla

Department of Computer Engineering,

Rizvi College of Engineering, Bandra, Mumbai, India

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Abstract

This project presents the design and implementation of a gesture-controlled robotic car using ESP32 and MPU6050 for wireless and real-time control. Traditional robotic systems rely on joysticks, remote controls, or mobile applications, which require manual effort and lack intuitive interaction. The proposed system uses a motion sensor (MPU6050) to detect hand gestures and convert them into control signals. An ESP32 microcontroller processes these signals and transmits them wirelessly using the ESP-NOW protocol. The receiver module mounted on the robotic car interprets the signals and controls the motors through an L298N motor driver. This enables smooth movement in multiple directions such as forward, backward, left, and right based on hand gestures. The system eliminates the need for physical controllers and reduces dependency on internet connectivity. It provides low latency, fast response, and improved user experience. The design is cost-effective, portable, and easy to implement using readily available components. The system is suitable for applications in robotics, automation, assistive technologies, and surveillance. Future enhancements include integrating camera modules, AIbased gesture recognition, and IoT-based remote monitoring for improved functionality.

KEYWORDS

Index Terms— Gesture Control ESP32 MPU6050 Robotics Wireless Communication ESP-NOW Automation Microcontroller.

Cite This Article

Mohammed Juned Shaikh, Alisha Khan, CP Mohd Bakar, Shaikh Arshi Fatma, Izhar Mulla, "HAND GESTURE CONTROLLED ROBOTIC CAR USING ESP32," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, pp. 1-5, April 2026. https://doi.org/10.55041/IJSREM61424

Full Article/Conclusion

In conclusion, the gesture-controlled robotic car developed in this project successfully integrates intuitive human interaction with real-time wireless control into a single system. The use of the MPU6050 motion sensor enables accurate detection of hand gestures, while the ESP32 microcontroller processes this data efficiently to generate control commands. The implementation of ESP-NOW communication ensures fast and reliable wireless transmission without the need for internet connectivity. The motor driver and PWM-based control enable smooth and responsive movement of the robotic car in multiple directions. The system is low-cost, easy to implement, and suitable for various applications such as robotics learning, automation systems, and assistive technologies. This project highlights the potential of embedded systems and wireless communication technologies for developing user-friendly and efficient control mechanisms.

References

[1] M. Banzi and M. Shiloh, Getting Started with Arduino, 3rd ed., Maker Media, 2014. [2] Espressif Systems, “ESP32 Technical Reference Manual,” 2023. [3] MPU6050 Datasheet, “6-Axis Accelerometer and Gyroscope Sensor,” InvenSense, 2013. [4] S. R. Kumar and P. K. Singh, “Microcontroller Based Robotic Systems and Control,” International Journal of Advanced Research in Electrical and Electronics Engineering, vol. 5, no. 5, pp. 3452–3456, 2016. [5] J. Borenstein and Y. Koren, “Real-Time Control Techniques for Mobile Robots,” IEEE Transactions on Systems, Man, and Cybernetics, vol. 19, no. 5, pp. 1179–1187, 1989. [6] Espressif Systems, “ESP-NOW Wireless Communication Protocol,” 2022. [7] L298N Motor Driver Datasheet, “Dual H-Bridge Motor Driver Module,” STMicroelectronics, 2019. [8] P. Corke, Robotics, Vision and Control: Fundamental Algorithms in MATLAB, Springer, 2017. [9] R. Siegwart, I. R. Nourbakhsh, and D. Scaramuzza, Introduction to Autonomous Mobile Robots, MIT Press, 2011. [10] S. Thrun, W. Burgard, and D. Fox, Probabilistic Robotics, MIT Press, 2005.

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Publication Date

4/24/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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