Safety-Critical Control for Quadrotor UAVs via Decentralized Navigation Functions
Abstract
We study safety-critical control for teams of quadrotor UAVs driven by decentralized navigation functions under learned model uncertainty. These functions generate fully actuated translational reference forces, while quadrotors can only produce thrust along their body-fixed vertical axes. We construct a thrust-attitude implementation of the induced navigation forces and quantify its error with respect to the fully actuated reference dynamics. An aggregated robust HOCBF-QP safety filter minimally...
Description / Details
We study safety-critical control for teams of quadrotor UAVs driven by decentralized navigation functions under learned model uncertainty. These functions generate fully actuated translational reference forces, while quadrotors can only produce thrust along their body-fixed vertical axes. We construct a thrust-attitude implementation of the induced navigation forces and quantify its error with respect to the fully actuated reference dynamics. An aggregated robust HOCBF-QP safety filter minimally modifies the nominal thrusts while guaranteeing pairwise collision avoidance with high probability.
Source: arXiv:2608.13507v1 - http://arxiv.org/abs/2608.13507v1 PDF: https://arxiv.org/pdf/2608.13507v1 Original Link: http://arxiv.org/abs/2608.13507v1
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Aug 14, 2026
Mathematics
Mathematics
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