ARTIFICIAL SUPER-INTELLIGENCE (ASI) BASED NEUROMORPHIC BOMB DISPOSAL SYSTEM AND METHOD THEREOF

The present invention discloses an Artificial Super-Intelligence based neuromorphic BOMB-disposal system configured to detect, assess, approach, manipulate, neutralize, or safely remove explosive threats while minimizing human exposure. The system integrates multi-sensor perception suite including HD cameras, thermal imaging, event-based vision sensors, chemical, acoustic, proximity, and explosive/radiation sensors with a neuromorphic processing core and an ASI decision engine. The neuromorphic architecture enables event-driven, low-latency sensor fusion, rapid threat recognition, adaptive navigation, and precision manipulator control. The ASI layer performs risk assessment, strategy generation, mission planning, and supervised autonomous decision-making for safe intervention. Robotic platform carries multi- degree-of-freedom manipulator with gripper, cutter, disruptor, wrist rotation, and force/tactile feedback for delicate explosive-handling tasks. The system supports teleoperated, assisted, semi-autonomous, and autonomous modes through a secure operator interface and wireless link. Fail-safe supervision monitors communication, sensor confidence, actuator status, and mission risk, enabling safe stop, retraction, logging, and controlled recovery during hazardous or uncertain conditions.