DINO-Explorer uses ego-motion compensated semantic surprise from a frozen DINOv3 model and action-conditioned predictor to triage underwater events, retaining 78.8% of human-consensus events while cutting telemetry bandwidth by 48.2%.
Underwater robots: From remotely operated vehicles to intervention-autonomous underwater vehicles
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A survey provides a taxonomy of decoupled and coupled sensor-based planning and control architectures for UUVs and compares PID, MPC, and invariant-set controllers for underwater autonomy.
citing papers explorer
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DINO-Explorer: Active Underwater Discovery via Ego-Motion Compensated Semantic Predictive Coding
DINO-Explorer uses ego-motion compensated semantic surprise from a frozen DINOv3 model and action-conditioned predictor to triage underwater events, retaining 78.8% of human-consensus events while cutting telemetry bandwidth by 48.2%.
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A Survey on Sensor-based Planning and Control for Unmanned Underwater Vehicles
A survey provides a taxonomy of decoupled and coupled sensor-based planning and control architectures for UUVs and compares PID, MPC, and invariant-set controllers for underwater autonomy.