Autonomous Fire Suppression Robot Based on Arduino

Year : 2026 | Volume : 13 | Issue : 01 | Page : 26 32
    By

    Ashvini Patil,

  1. Assistant Professor, Department of Electronics and Telecommunication, Parvatibai Genba Moze Collage of Engineering, Pune, Maharashtra, India

Abstract

Fire hazards continue to pose serious risks in homes, workplaces, and industrial facilities, making rapid detection and early suppression crucial for minimizing damage and protecting lives. This paper presents the design and development of an autonomous fire suppression robot built around an Arduino- based control system. The robot is engineered to independently detect, approach, and extinguish small fires with minimal human interaction. It incorporates multiple sensing components, including flame sensors for heat and light detection and an MQ-2 gas sensor for identifying smoke and flammable gases. Sensor data is processed by an Arduino Uno, which coordinates navigation and suppression actions. A servo-driven water nozzle provides accurate targeting, while a motor driver module ensures stable movement across various surfaces. To promote energy efficiency and longer operational time, the robot is powered by a solar-assisted battery system. In addition, a SIM800L communication module delivers real-time alerts, enabling remote supervision. Overall, the system offers a cost-effective, adaptable, and practical solution for improving fire response times and strengthening safety measures in a wide range of environments.

Keywords: Arduino, autonomous robot, embedded systems, fire detection, fire suppression, flame sensor, scalable, SIM800L, water spraying mechanism

[This article belongs to Journal of Advancements in Robotics ]

How to cite this article:
Ashvini Patil. Autonomous Fire Suppression Robot Based on Arduino. Journal of Advancements in Robotics. 2026; 13(01):26-32.
How to cite this URL:
Ashvini Patil. Autonomous Fire Suppression Robot Based on Arduino. Journal of Advancements in Robotics. 2026; 13(01):26-32. Available from: https://journals.stmjournals.com/joarb/article=2026/view=237856


References

  1. Khajuria S, Johar R, Sharma V, Bhatti A. Arduino based fire fighter robot. Int J Sci Eng Res. 2017;5(5):124–125. doi:10.70729/IJSER151434.
  2. Hemashree HC, Santhosh T, Anchan A, Manasa GR. Design and implementation of autonomous fire fighting robot. 2024 Second International Conference on Advances in Information Technology (ICAIT), Chikkamagaluru, Karnataka, India. 2024. p. 1–7. doi:10.1109/ICAIT61638.2024.10690372.
  3. Taha IA, Marhoon HM. Implementation of controlled robot for fire detection and extinguish to closed areas based on Arduino. Telkomnika Telecommun Comput Electron Control. 2018;16(2):654–664.
  4. Agarwal N, Rohilla Y. Flame sensor based autonomous firefighting robot. In: Nath V, Mandal JK, editors. Proceeding of Fifth International Conference on Microelectronics, Computing and Communication Systems. Lecture Notes in Electrical Engineering. Vol. 748. Singapore: Springer; 2021. p. 641–655. doi:10.1007/978-981-16-0275-7_52.
  5. Iyer K, Jadhav S, Jadhav S, Jadhav S, Jadhav V, Suryawanshi A. Fire fighting robot using Arduino UNO. 2024 9th International Conference on Communication and Electronics Systems (ICCES), Coimbatore, India. 2024. p. 8–12. doi:10.1109/ICCES63552.2024.10859949.
  6. Suresh MP, Vedha Rhythesh VR, Dinesh J, Deepak K, Manikandan J. An Arduino Uno controlled fire fighting robot for fires in enclosed spaces. 2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Dharan, Nepal. 2022. p. 398–402. doi:10.1109/I-SMAC55078.2022.9987432.
  7. Usha S, Jessica Sharon WJ, Shrajana MS. Fire detection and extinguishing robot using Arduino. 2024 International Conference on Communication, Computing and Internet of Things (IC3IoT), Chennai, India. 2024. p. 1–6. doi:10.1109/IC3IoT60841.2024.10550218.
  8. Khoon TN, Sebastian P, Saman ABS. Autonomous fire fighting mobile platform. Procedia Eng. 2012;41:1145–1153. doi:10.1016/j.proeng.2012.07.294.
  9. Saeed F, Paul A, Rehman A, Hong WH, Seo H. IoT-based intelligent modeling of smart home environment for fire prevention and safety. J Sens Actuator Netw. 2018;7(1):11. doi:10.3390/jsan7010011.
  10. Ajanalkar S, Birajdar S, Rajput K, Fegade R, Maslekar D, Raul A. Advanced machine learning models for early detection of helical gear faults. Int J Interact Des Manuf (IJIDeM). 2025;19:7507– 7517. doi:10.1007/s12008-025-02301-x.
  11. Fegade R, Tale V, Mate D, Wadate P, Choudhari R, Mohite K, et al. Innovative magnetic coupling for enhanced safety in grinding machines. J Mines Met Fuels. 2025;73(6):1487–1497. doi:10.18311/jmmf/2025/48751.
  12. Manahan MP Sr, Cruz CA Jr, Yohn HE. Instrumented pendulum impact testing of plastics. In: Peraro JS, editor. Limitations of Test Methods for Plastics. ASTM Selected Technical Papers. Vol. STP1369-EB. West Conshohocken (PA): ASTM International; 2000. p. 118–129. doi:10.1520/STP14346S.
  13. Fegade R, Tated R, Nehete R. Numerical investigation of pull in control of rectangular AA1050 rolling ingot through the design of convex mould during direct chill casting process. Eng Res Express. 2024;6(1):015034. doi:10.1088/2631-8695/ad1a7c.

Regular Issue Subscription Review Article
Volume 13
Issue 01
Received 28/10/2025
Accepted 28/11/2025
Published 06/03/2026
Publication Time 129 Days


Login


My IP

PlumX Metrics