arXiv: cs.AI preprintsInternational5 November 2026
DyPSI: Dynamic Physics Sensing via Joint Field and Sensor-Trajectory Generation
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arXiv:2611.06280v1 Announce Type: new Abstract: Physics sensing in evolving environments requires reconstructing dense spatiotemporal fields from sparse observations while adapting where future observations should be collected. Existing reconstruction and sensor-placement methods have made substantial progress, but they typically rely on static sensing assumptions: they either use a single layout across all frames or optimize placements independently at each frame, which limits their ability to produce temporally coherent sensing trajectories. We introduce DyPSI, a dynamic physics sensing fram
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