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May 26, 20260 citationsOpen Access

Artificial Super-Intelligence (Asi) Based Neuromorphic Bomb Disposal System and Method Thereof

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SPSucharu Suchismita PradhanSJSoumya Ranjan Jena

Key Points

  • This invention aims to enhance bomb disposal operations using artificial super-intelligence for improved safety and efficiency.
  • Developed a neuromorphic bomb disposal system integrating multiple sensors for threat detection and assessment.
  • Implemented a decision engine for adaptive navigation and mission planning.
  • Facilitated operation through teleoperated, assisted, semi-autonomous, and autonomous modes.
  • The system successfully detects and neutralizes explosive threats while minimizing risk to human operators.
  • Adaptive navigation and precision manipulation were achieved with low-latency sensor fusion resulting in improved task performance.
  • Fail-safe supervision mechanisms ensured effective monitoring and control during hazardous operations.

Abstract

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.

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Cite This Study

Pradhan et al. (2026) studied this question.

synapsesocial.com/papers/6a153a2eb5d9c58d83e8cf37https://doi.org/10.5281/zenodo.20365430
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