arXiv Machine Learning July 14, 2026 By Alex Zongo, Peng Wei

Runtime Safety Filtering for Learned Small UAS Separation Policies under GNSS Degradation

Read the original on arXiv Machine Learning →

arXiv:2607. 10014v1 Announce Type: cross Abstract: Learning-based separation assurance for small Unmanned Aircraft Systems (sUAS) achieves near-zero collision rates in simulation, but assumes accurate position and velocity information from Global Navigation Satellite Systems (GNSS).

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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