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Landmines are underground explosive devices that explode when humans, vehicles, or animals pass them. Manual landmine detection is dangerous, time-consuming, and limited in difficult terrain. Mobility, flexibility to different terrains, precision, and real-time data processing are essential for landmine detection robots (LDR). Advanced sensor fusion and machine learning methods improve detection accuracy. Real-time data processing allows fast analysis and decision- making for mine detection and safe demining. Remote operation and autonomous functionalism improve these robots' productivity and safety, reducing human exposure to dangerous locations. The various kinds of LDR are described and illustrated in this article. The design considerations that render these robots appropriate for these duties have been prioritized. The necessary components and methods for autonomous navigation have been examined in light of the landmine detection mechanism and technologies.
Keywords: Landmine Detection Robot; Navigation; GPS; Vision Camera; All Terrain Robot.
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