Autonomous Fire Fighting Robotic Vehicle

In environments where fire hazards are prevalent, such as forests, industrial sites, and densely populated urban areas, fire safety remains a critical concern due to the risks faced by human responders. Traditional firefighting methods can expose personnel to toxic fumes, intense heat, and physical dangers. This highlights the urgent need for autonomous systems that can operate independently in hazardous environments, reducing human involvement while maintaining effectiveness. The proposed Fire Fighting Robotic Vehicle addresses these needs through an innovative design that autonomously detects, navigates, and responds to fire hazards. Equipped with smoke and fire sensors, robotic vehicles can detect fire threats in real time, activating an integrated water pump system upon detection. Mounted on a servo motor, the water pump allows for precise and targeted water spray to suppress flames effectively. The vehicle’s forward, backward, left, and right movement capabilities are controlled via a Bluetooth module, which also allows remote monitoring and control. For obstacle avoidance, ultrasonic sensors detect objects in the path of the vehicle, preventing collisions and enabling safe navigation through complex environments. This IoT-integrated firefighting system combines real-time hazard detection, autonomous movement, and remote control, making it ideal for emergency response in areas that are difficult or dangerous for humans to access. This robotic solution not only provides a proactive response to potential fire hazards but also represents a significant advancement in smart firefighting technology, offering adaptability, safety, and efficiency in fire-prone environments.

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Publication Details

Published
2025-06-05
DOI
https://doi.org/10.1109/iccsp64183.2025.11089325
Citations
3
Primary Topic
Fire Detection and Safety Systems
Type
article
Field-Weighted Citation Impact
3.91
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article

Autonomous Fire Fighting Robotic Vehicle

Siddharth Singh, Sarbjit Singh, T. Rajalakshmi, Anuj Singhal et al.
3 citations
Fire Detection and Safety Systems
3.91
article

Autonomous Fire Fighting Robotic Vehicle

Siddharth Singh, Sarbjit Singh, T. Rajalakshmi, Anuj Singhal, Vasanthadev Suryakala S
article en
3 citations

Abstract

In environments where fire hazards are prevalent, such as forests, industrial sites, and densely populated urban areas, fire safety remains a critical concern due to the risks faced by human responders. Traditional firefighting methods can expose personnel to toxic fumes, intense heat, and physical dangers. This highlights the urgent need for autonomous systems that can operate independently in hazardous environments, reducing human involvement while maintaining effectiveness. The proposed Fire Fighting Robotic Vehicle addresses these needs through an innovative design that autonomously detects, navigates, and responds to fire hazards. Equipped with smoke and fire sensors, robotic vehicles can detect fire threats in real time, activating an integrated water pump system upon detection. Mounted on a servo motor, the water pump allows for precise and targeted water spray to suppress flames effectively. The vehicle’s forward, backward, left, and right movement capabilities are controlled via a Bluetooth module, which also allows remote monitoring and control. For obstacle avoidance, ultrasonic sensors detect objects in the path of the vehicle, preventing collisions and enabling safe navigation through complex environments. This IoT-integrated firefighting system combines real-time hazard detection, autonomous movement, and remote control, making it ideal for emergency response in areas that are difficult or dangerous for humans to access. This robotic solution not only provides a proactive response to potential fire hazards but also represents a significant advancement in smart firefighting technology, offering adaptability, safety, and efficiency in fire-prone environments.

SRM Institute of Science and Technology (IN)
Openalex Percentile: Top 7%
Fire Detection and Safety Systems
3.91
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