Hybrid optimization of multimodal SLAM for underground robots with seismic vibration geomagnetic and tactile sensing
Researchers proposed a hybrid-optimized SLAM framework combining seismic, vibration, geomagnetic, and tactile sensors for underground robots navigating GPS-denied environments. Field evaluations across multiple tunnel and mine trajectories demonstrated robust performance and near-real-time online operation.
Why it matters
Reliable underground navigation in GPS-degraded conditions is critical for search and rescue, mining automation, and subterranean robotics.
Scientific Reports ( 2026 ) Cite this article
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