SOURCE-LINKED INTELLIGENCE
Underwater Navigation in Unsteady Flows Using Measurement Histories from a Single Sensing Unit
Spatial flow measurements support underwater navigation, but distributed sensing is constrained by robot size and sensor layout. We use a causal observer to estimate current lateral velocities from a finite history of measurements collected by a single sensing unit, supplying the inputs of a fixed navigation controller. In two-dimensional wake simulations with access to body-frame ambient velocity, this virtual sensing interface reduces simultaneous flow sampling from three points to the robot center. Trained only in a circular-cylinder wake at Re = 100, the flow-history observer achieves 84.4
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-22T17:34:33.000Z
First collected: 2026-09-23T04:11:12.117Z. This is not the publication date.