Bluetooth Control Fire Fighting Robot & Pick and Place Arm

Abstract

Fire accidents are a major cause of loss of life and property, particularly in hazardous environments where human intervention is risky. This paper presents the design and implementation of a Bluetooth Controlled Fire Fighting Robot integrated with a Pick and Place Robotic Arm. The system is developed using an Arduino Uno microcontroller, flame sensor, DC motors, and a water pump mechanism for automatic fire detection and extinguishing. Additionally, the robot can be manually controlled through a smartphone using an HC-05 Bluetooth module, allowing safe remote operation. The integrated pick and place robotic arm is designed using servo motors and multiple joints, enabling precise and efficient handling of objects. This enhances the system’s capability for automation tasks such as material handling, packaging, and assembly. The combination of firefighting and object manipulation functions makes the system versatile and cost-effective. Overall, the proposed system improves safety, reduces human effort, and increases operational efficiency. It is suitable for applications in industries, laboratories, and other environments requiring quick response and automation.

Introduction

This study presents a Bluetooth-controlled firefighting robot with a pick-and-place robotic arm designed to improve safety and reduce human involvement in hazardous fire situations and industrial tasks.

The system uses an Arduino Uno as the central controller, flame and smoke sensors for fire detection, DC motors for movement, and a water pump for fire extinguishing. It can be controlled manually through a Bluetooth HC-05 module via smartphone, and also supports IoT-based monitoring using an ESP8266 Wi-Fi module. A motor driver (L298N) and servo motors enable precise movement of both the robot and its robotic arm.

The robot operates in two modes:

• Automatic mode, where sensors detect fire and trigger immediate suppression
• Manual/remote mode, where users control movement and actions via mobile or internet

A literature review highlights existing fire-fighting robots, showing improvements in remote control, automation, and sensor integration, but also limitations such as short range, low autonomy, or poor performance in complex environments.

Testing results show that the robot responds quickly to fire detection, effectively activates the water pump, and maintains stable Bluetooth communication within 8–10 meters. The robotic arm performs accurate pick-and-place tasks, and IoT features enable remote monitoring.

Conclusion

This paper presented the design and implementation of a Bluetooth Controlled Fire Fighting Robot integrated with a Pick and Place Arm. The system successfully combines fire detection, firefighting mechanisms, wireless control, and robotic manipulation into a single platform. The integration of Arduino Uno, flame sensor, relay-controlled water pump, Bluetooth HC-05 module, ESP8266, and motor driver enables both autonomous and manual operation. The robot effectively detects fire and responds promptly while also allowing users to control movement and object handling remotely. The pick-and-place arm enhances the functionality of the system by enabling it to perform additional tasks such as object handling in hazardous environments. The proposed system is cost-effective, easy to implement, and suitable for real-time applications. Thus, the system proves to be a reliable solution for fire safety applications, industrial automation, and rescue operations.

References

[1] S. M. Metev and V. P. Veiko, Laser Assisted Microtechnology, 2nd ed., R. M. Osgood, Jr., Ed. Berlin, Germany: Springer-Verlag, 1998. [2] J. Breckling, Ed., The Analysis of Directional Time Series: Applications to Wind Speed and Direction, ser. Lecture Notes in Statistics. Berlin, Germany: Springer, 1989, vol. 61. [3] S. Zhang, C. Zhu, J. K. O. Sin, and P. K. T. Mok, “A novel ultrathin elevated channel low-temperature poly-Si TFT,” IEEE Electron Device Lett., vol. 20, pp. 569–571, Nov. 1999. [4] M. Wegmuller, J. P. von der Weid, P. Oberson, and N. Gisin, “High resolution fiber distributed measurements with coherent OFDR,” in Proc. ECOC’00, 2000, paper 11.3.4, p. 109. [5] R. E. Sorace, V. S. Reinhardt, and S. A. Vaughn, “High-speed digital-to-RF converter,” U.S. Patent 5 668 842, Sept. 16, 1997. [6] (2002) The IEEE website. [Online]. Available: http://www.ieee.org/ [7] M. Shell. (2002) IEEEtran homepage on CTAN. [Online]. Available: http://www.ctan.org/tex-archive/macros/latex/contrib/supported/IEEEtran/ [8] FLEXChip Signal Processor (MC68175/D), Motorola, 1996. [9] “PDCA12-70 data sheet,” Opto Speed SA, Mezzovico, Switzerland. [10] A. Karnik, “Performance of TCP congestion control with rate feedback: TCP/ABR and rate adaptive TCP/IP,” M. Eng. thesis, Indian Institute of Science, Bangalore, India, Jan. 1999. [11] J. Padhye, V. Firoiu, and D. Towsley, “A stochastic model of TCP Reno congestion avoidance and control,” Univ. of Massachusetts, Amherst, MA, CMPSCI Tech. Rep. 99-02, 1999. [12] Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specification, IEEE Std. 802.11, 1997.

Copyright

Copyright © 2026 Bhosale Yashraj, Pujari Rushikesh, Pawar Ranjit, Birajdar Abhijit, Ms. M. D. Kawade. 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.