Warehouses and storage facilities are highly vulnerable to fires due to the presence of flammable materials and high-density storage layouts. Traditional fire detection and suppression systems frequently encounter limitations in such environments, such as delayed response times and restricted access to fire sources. The study describes the design and development of an automatic fire-fighting robot specifically for warehouses and storage facilities. The proposed robotic system combines advanced sensors for smoke, heat, and flame detection with real-time navigation capabilities to autonomously locate fire sources. Some of them uses thermal imaging cameras, infrared sensors, and LiDAR technology to precisely map the environment, detect obstacles, and navigate narrow aisles. The robot has a multi-directional water or foam nozzle for efficient fire suppression, as well as a decision-making algorithm that prioritizes critical fire zones, allowing for a quick and effective response. Furthermore, the system supports remote monitoring and control via a user-friendly interface, allowing for human intervention as needed. Heat-resistant materials and a long-lasting power supply improve the robot’s durability, allowing it to operate continuously in extreme conditions. Experimental results show that the robot is effective at detecting fires early, responding quickly, and minimizing damage. The study seeks to provide a dependable, cost-effective solution for improving fire safety in warehouses and storage facilities, thereby reducing risk to both property and human life.