arXiv Machine Learning By Yuchao Mei, Guohao Zhang, Luxia Ai, Haopeng Chen, Wenbing Tao

Anticipatory Risk-Guided Reinforcement Learning for Safe Flight Through Dynamic Clutter

Read the original on arXiv Machine Learning →

arXiv:2607. 23565v1 Announce Type: cross Abstract: Safe quadrotor navigation in cluttered and dynamic environments depends not only on instantaneous geometric perception, but more critically on anticipating collision risks induced by relative motion.

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Safe quadrotor navigation in cluttered and dynamic environments depends not only on instantaneous geometric perception, but more critically on anticipating collision risks induced by relative motion. Conventional modular pipelines frequently suffer from perception latency, while end-to-end learning methods relying on implicit scalar rewards often struggle to extract reliable spatio-temporal features without physics-grounded supervision.

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