This paper presents the design and control of an aerial robot equipped with a gimbal stabilization control system (GSC) and a gimbal autonomous strike system (GAS). The GSC compensates for UAV attitude disturbances by controlling the yaw and pitch axis motors, enabling horizontal movement of the gimbal. The GAS integrates armor plate recognition based on binarization and multi-layer perceptron classification with an Extended Kalman Filter (EKF) to achieve robust target tracking under both translational and rotational motion. The two indicators of Point Density and Mean Nearest Neighbor Distance are used to measure the concentration degree and discrete situation of projectiles respectively. In the projectile launch accuracy test, compared to hovering state without GSC, the system achieved 68.48% higher Point Density and 53.78% improvement in Mean Nearest Neighbor Distance. The Comprehensive Attack Test confirmed substantial accuracy gains: autonomous aiming increased hit rates by 6.5–35.7% over manual operation against stationary targets, while demonstrating 13.6–26.9% higher hit rates than manual control during flight operations. These advancements significantly enhance aerial strike capabilities in dynamic combat scenarios.