Arduino-Based Riot Control Robot for Crowd Management and Public Safety

Abstract

Terrorism and violent riots continue to threaten public safety and security in India, leading to significant casualties among civilians and security personnel. Recent incidents in Jammu and Kashmir, Delhi, and Bangalore highlight the growing need for advanced technologies that can reduce direct human involvement during hostile situations. This paper proposes an Anti Terrorism and Riot (ATR) robotic system designed to assist security forces in crowd-control and anti-terror operations using controlled non-lethal mechanisms. The system integrates wireless communication and remote warning systems for real-time monitoring and operation [1]. An ATmega328P microcontroller and Bluetooth-based control are used in the prototype model. The robot is further protected with a waterproof and bullet-resistant metallic body to enhance operational safety and durability. The proposed framework aims to improve security force protection, minimize casualties, and support effective riot and terrorism management.

Introduction

Robotics has advanced rapidly and is now widely used in industries, healthcare, and defense. However, existing military and surveillance robots often suffer from limitations such as high cost, large size, low battery life, poor communication, and easy detectability. The proposed system addresses these issues by developing a compact, low-cost, remotely controlled robot with improved surveillance and defensive capabilities.

The literature review highlights existing robotic systems:

• Military robots with AI-based targeting and electromagnetic weapons
• Multi-terrain bomb disposal and surveillance robots
• Bio-inspired police dog robots for monitoring and communication

The proposed system is built using an Arduino Uno controller, sensors, motors, and a Bluetooth-based communication system (extendable to IoT). It includes:

• Real-time surveillance through sensors
• Remote control via mobile application
• Obstacle detection
• A water cannon mechanism for non-lethal crowd control

The robot operates by receiving commands from an Android app, which are processed by the microcontroller and executed through motor drivers to control movement. It remains in standby mode until commands are received and continuously responds to user inputs.

Conclusion

The proposed anti-terrorism robotic system presents an effective and reliable solution for reducing human risk in hazardous and conflict-prone environments. The robot is designed using an Arduino Uno based control system integrated with Bluetooth communication, motor driver circuitry, obstacle detection sensors, and a water pump cannon mechanism for crowd-control and emergency operations. The developed system is capable of remotely controlled movement, obstacle detection, and real-time operational response, making it suitable for defence and security-related applications[7].

References

[1] M. Demir, “Antiterrorism Robot Based on Electromagnetic Weapons Technology,” International Journal of Advanced Robotic Systems, vol. 15, no. 4, pp. 1–8, 2019. [2] J. Wei, “Design and Development of an Eight-Wheel Drive Antiterrorism Robot,” Journal of Robotics and Intelligent Systems, vol. 12, no. 2, pp. 45–52, 2020. [3] B. You, X. Li, and H. Zhang, “Bio-Inspired Police Dog Robot for Surveillance and Antiterrorism Applications,” IEEE Access, vol. 8, pp. 112345–112353, 2020. [4] A. Sharma and P. Verma, “Arduino Based Wireless Controlled Security Robot,” International Journal of Scientific Research in Computer Science Engineering and Information Technology, vol. 6, no. 3, pp. 210–215, 2021. [5] T. Singh and M. Arora, “Bluetooth Controlled Robotic Vehicle Using L293D Motor Driver,” International Journal of Innovative Technology and Exploring Engineering (IJITEE), vol. 8, no. 7, pp. 1450–1454, 2019. [6] R. Mehta and S. Joshi, “IoT Based Smart Surveillance and Rescue Robot,” Proceedings of the International Conference on Smart Computing and Automation, pp. 88–94, 2021. [7] P. Gupta and D. Nair, “Obstacle Detection and Autonomous Navigation Using IR Sensors,” International Journal of Electronics and Communication Engineering, vol. 10, no. 6, pp. 75–81, 2019. [8] V. Rao and K. Mishra, “Wireless Communication Techniques for Military Robotic Systems,” IEEE International Conference on Communication Systems, pp. 220–225, 2020. [9] N. Jain and A. Kulkarni, “Crowd Control Robot Using Water Pump Mechanism,” International Journal of Mechanical and Production Engineering Research and Development, vol. 10, no. 4, pp. 985–992, 2020.

Copyright

Copyright © 2026 Rashmi Dhaundiyal, Shubham Kumar, Suhel Khan, Ranjan Kumar. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.