Abstract. Modern armed conflicts and their consequences have significantly increased the number of mined areas worldwide, posing a threat to civilians and hindering the restoration of affected regions. This article reviews the global experience in the development and application of robotic complexes for mine detection and neutralization. It analyzes modern technologies, including artificial intelligence, multisensor systems, unmanned aerial vehicles (UAVs), and ground platforms, which enhance the efficiency of demining operations.
Special attention is given to the potential of deep learning algorithms for mine and unexploded ordnance (UXO) detection, as well as the integration of autonomous systems for operation in complex environments. Key challenges such as the high cost of equipment, the need to reduce false alarms, and the adaptation of technologies to various military and humanitarian scenarios are discussed.
Promising solutions, including the development of swarm robotic systems and the combination of different sensor technologies, are examined. The implementation of these technologies can significantly improve the safety and efficiency of humanitarian demining, reduce risks for sappers, and accelerate recovery efforts.

Keywords: demining, robotic complexes, UAVs, deep learning, multisensor systems, artificial intelligence.