NAViLoss: An Underwater Navigation-Aware Dual-Residual Objective for Physics-Consistent Learning

arXiv:2610.09690 · cs.RO, cs.LG · Submitted 2026-10-07 · Read on arXiv

cs.RO, cs.LG

Submitted: 2026-10-07

Updated: 2026-10-07

Code: https://github.com/ansfl/NAViLoss

Terminology

DeepONet — 46× in this paper · explained in 2 episodes
Consistency — 16× in this paper · explained in 3 episodes
Loss Function — 9× in this paper · explained in 2 episodes
Robustness — 9× in this paper · explained in 5 episodes
Accuracy — 7× in this paper · explained in 1 episode
Objective Function — 5× in this paper · explained in 2 episodes
Ablation — 3× in this paper · explained in 1 episode
Latent Representation — 3× in this paper · explained in 2 episodes
Ablation study — 2× in this paper · explained in 1 episode
Adaptive Mechanism — 2× in this paper · explained in 1 episode
Alignment — 2× in this paper · explained in 1 episode
Calibration — 2× in this paper · explained in 7 episodes
Generalization — 2× in this paper · explained in 13 episodes
Influence Functions — 2× in this paper · explained in 2 episodes
Benchmarking — 1× in this paper · explained in 3 episodes
Generalizability — 1× in this paper · explained in 6 episodes
Inverse Problem — 1× in this paper · explained in 2 episodes
Latent Representations — 1× in this paper · explained in 3 episodes
Latent Space — 1× in this paper · explained in 7 episodes
Physical Constraints — 1× in this paper · explained in 7 episodes
Transformer — 1× in this paper · explained in 2 episodes

Sources

PiDR: Physics-Informed Inertial Dead Reckoning for Autonomous Platforms

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