Mecanum Wheel Robot Car Using FlySky Transmitter and ESP32-Cam Module for Real Time Video Monitoring Approach

Authors

  • Prakash Jadhav
  • Shashank Yadav
  • Satish Patil
  • Chaithra B

Keywords:

Arduino UNO, embedded systems, ESP32-CAM module, FlySky transmitter, FS-iA6B receiver, Holonomic motion, L293D motor driver, Mecanum wheel robot car, Mobile Robotics, omnidirectional mobility, Real-Time video monitoring, WIRELESS robotic control

Abstract

Omnidirectional mobile robots have gained increasing attention due to their superior maneuverability in confined and dynamic environments compared to conventional wheeled platforms. This paper presents the design and implementation of a Mecanum Wheel Robot Car capable of true holonomic motion combined with real-time video monitoring. The proposed system employs four Mecanum wheels arranged in a standard diagonal configuration, enabling motion in all directions—forward, backward, sideways, diagonal, and rotation—without altering the robot’s orientation. Wireless control is achieved with a FlySky FS-i6 transmitter and FS-iA6B receiver, providing low-latency, reliable command transmission. An Arduino UNO processes PWM signals from the receiver and applies kinematic mixing equations to independently control four DC motors via L293D motor driver modules. To enhance remote situational awareness, an ESP32-CAM module is integrated to provide real-time video streaming over Wi-Fi through a web-based interface. The system architecture combines motion control, wireless communication, and embedded vision into a unified platform. Experimental evaluation demonstrates smooth omnidirectional movement, accurate response to control inputs, and stable live video transmission with minimal latency under indoor operating conditions. The developed robot offers a cost-effective, modular, and scalable solution suitable for applications such as surveillance, indoor automation, inspection, and educational research. The results confirm the effectiveness of Mecanum wheel-based holonomic motion and highlight the potential for future extensions toward autonomous navigation and intelligent robotic systems.

References

W. Farooq, N. Butt, S. Shukat, and N. Ali Baig, “Wirelessly Controlled Mines Detection Robot,” 2016 International Conference on Intelligent Systems Engineering (ICISE), Jan. 2016

M. Yashar and Y. Hashim, “Design and Implementation of Arduino Controlled Mecanum Wheel Robot Car,” 2024 21st International Multi-Conference on Systems, Signals & Devices (SSD), pp. 474–479, Apr. 2024

V. S. Gaikwad, “Mecanum Wheel: An Emerging Trend for Land-based Vehicle,” International Journal for Research in Applied Science and Engineering Technology, vol. 10, no. 5, pp. 4472–4476, May 2022

P. S. Yadav, V. Agrawal, J. C. Mohanta, and Md. F. Ahmed, “A Theoretical Review of Mobile Robot Locomotion Based on Meccanum Wheels,” Joint Journal of Novel Carbon Resource Sciences & Green Asia Strategy, Vol. 09, no. 02, pp. 396-403, June 2022.

A. Dhakariya, A. Awasthi, N. K. Chauhan, A. Jain, S. S. Rajawat, and H. Patidar, “Multi-Axis Robot Arm with Mobile Control and Real-Time Object Recognition,” 2025 International Conference on Electronics, AI and Computing (EAIC), pp. 1–6, Jun. 2025

P. I-Tsyuen. Chang, C.-C. Liu, S.-C. F. Chiang, and C.-Y. Lan, “Signal-based and Model-based Wheel Fault Detection of Omni-directional Vehicle with Mecanum Wheel,” 2020 International Automatic Control Conference (CACS), pp. 1–6, Nov. 2020

S. Alhanov and V. I. Rubtsov, “Development of the Laboratory Work: ‘Modeling of a Mobile Robot on Mecanum Wheels Kinematics,’” ITM Web of Conferences, vol. 35, p. 04001, 2020

A. S. Oo, M. Y. Naing, and I. Nilkhamhang, “Experiment on Real-Time Image Processing in the Controlling of Mecanum Wheel Robotic Car,” 2019 First International Symposium on Instrumentation, Control, Artificial Intelligence, and Robotics (ICA-SYMP), Jan. 2019

B. I. Adamov and G. R. Saypulaev, “A Study of the Dynamics of an Omnidirectional Platform, Taking into Account the Design of Mecanum Wheels and Multicomponent Contact Friction,” 2020 International Conference on Nonlinearity, Information and Robotics (NIR), Dec. 2020

I. Capriyani, S. Fanisa, Eriyanti, R. P. Saputra, Muhammad Zakiyullah Romdlony, and M. D. Putra, “Mecanum-Wheeled Autonomous Mobile Robot for Flexible Manufacturing System,” 2024 IEEE International Conference on Advanced Telecommunication and Networking Technologies (ATNT), pp. 1–4, Sep. 2024

C. Dosoftei, V. Horga, I. Doroftei, T. Popovici, and Ş. Custura, “Simplified Mecanum Wheel Modelling using a Reduced Omni Wheel Model for Dynamic Simulation of an Omnidirectional Mobile Robot,” IEEE Xplore, Oct. 01, 2020

C. Chaichumporn, P. Ketthong, N. T. Mai, K. Hashikura, A. Samad, and K. Yamada, “The Dynamical Modelling of Four Mecanum Wheel Mobile Robot on Typical Unstructured Terrain,” 2024 21st International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), pp. 1–5, May 2024

J. Wang, S. Xu, D. Kong, H. Yan, P. Zhu, and K. Wang, “Research on Algorithm and Application of Mecanum Wheel Robot,” 2025 Joint International Conference on Automation-Intelligence-Safety (ICAIS) & International Symposium on Autonomous Systems (ISAS), pp. 1–5, May 2025

Published

2026-01-29

How to Cite

Prakash Jadhav, Shashank Yadav, Satish Patil, & Chaithra B. (2026). Mecanum Wheel Robot Car Using FlySky Transmitter and ESP32-Cam Module for Real Time Video Monitoring Approach. Journal of VLSI Design and Signal Processing, 12(1), 1–13. Retrieved from https://matjournals.net/engineering/index.php/JOVDSP/article/view/3037

Issue

Section

Articles