Hybrid optimization of multimodal SLAM for underground robots with seismic vibration geoma
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A hybrid optimization framework for multimodal SLAM in underground robots is proposed, integrating seismic, vibration, geomagnetic, and tactile sensing to improve reliability where traditional sensors fail.
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Originally published by gnews