In this era of a politically competitive world, there is a growing demand for the use of military robots to aid soldiers to perform perilous missions. This project focuses on the design and build of a semi-autonomous, solar-powered, unmanned robotic system operating with real-time object detection function, used for various military and rescue operations such as explosives disposal, enemy territory surveillance, and search and rescue. The military robotic system is instilled with a robotic arm for explosives disposal, a sensory circuit for analysis of the environmental composition of the area under surveillance, and a Raspberry PI for real-time object detection. The commands for the motion of the robotic arm and the robotic body are given using a Graphical User Interphase (GUI). The effectiveness in performing perilous missions can be accomplished by the utilization of Artificial Intelligence (AI). Real-time object detection with deep learning techniques is utilized in this robotic system to identify objects within the frame of the camera and tag the objects with the accuracy rate of computations. Data transmission and receiving is through Zigbee and Wi-Fi communication technologies. The proposed robotic system overcomes the weakness in the existing models and thus provides better support in military operations.