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Achieving near-centralized localization performance in multi-robot systems without the need for extensive communication could revolutionize how teams of robots operate in real-world environments.
DIVO achieves unprecedented accuracy and robustness in underwater odometry by seamlessly integrating multiple sensing modalities in real-time.
Anchored feature parameterizations can significantly boost the consistency of visual-inertial navigation systems, even in poor initialization conditions.
