Fires in indoor environments present significant threats to both life and property. This research focuses on the design, simulation, and analysis of an autonomous firefighting robot that integrates SLAM-based navigation, YOLOv8 fire detection, thermal imaging, and a projectile suppression mechanism. The robot identifies fires through a combination of vision and thermal data, navigates autonomously using LiDAR, and deploys a 1.3 kg fire extinguisher ball via a torque-driven catapult arm. The system was evaluated in a Gazebo simulation and visualized in RViz. The results demonstrated the robot’s ability to effectively suppress fires at distances ranging from 14.78, 12.8, 7.39, and 0 m using different angles such as \(45^\circ \) , \(60^\circ \) , \(75^\circ \) , and \(90^\circ \) , respectively.