DVL-DeepONet: A Physics-Guided Operator Learning for Resilient Underwater Navigation

arXiv:2606.23502 · cs.RO, cs.AI · Submitted 2026-06-22 · Read on arXiv

cs.RO, cs.AI

Submitted: 2026-06-22

Updated: 2026-06-22

Code: https://github.com/ansfl/DVL-DeepO

Terminology

DeepONet — 96× in this paper · explained in 2 episodes
Consistency — 11× in this paper · explained in 3 episodes
Accuracy — 8× in this paper · explained in 1 episode
Latent Representation — 5× in this paper · explained in 2 episodes
Ablation — 4× in this paper · explained in 1 episode
Ablation study — 4× in this paper · explained in 1 episode
Activation Function — 4× in this paper · explained in 1 episode
Robustness — 4× in this paper · explained in 5 episodes
Calibration — 3× in this paper · explained in 7 episodes
Reconstruction Error — 3× in this paper · explained in 2 episodes
Core — 2× in this paper · explained in 2 episodes
Physical Constraints — 2× in this paper · explained in 7 episodes
Alignment — 1× in this paper · explained in 1 episode
Benchmarking — 1× in this paper · explained in 3 episodes
Embeddings — 1× in this paper · explained in 2 episodes
Feature Extraction — 1× in this paper · explained in 2 episodes
Generalization — 1× in this paper · explained in 13 episodes
Interpretability — 1× in this paper · explained in 15 episodes

Sources

PiDR: Physics-Informed Inertial Dead Reckoning for Autonomous Platforms

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