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Evidence record 14496 · automatically gathered

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

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. To address this, we propose an anticipatory risk-guided rei

Record details

Published: 26 July 2026
Source: arXiv cs.LG
Category: Research
Topics: Environment
Retrieved: 29 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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How to cite this record

ethics.ai (26 July 2026), “Anticipatory Risk-Guided Reinforcement Learning for Safe Flight Through Dynamic Clutter,” evidence record 14496, https://ethics.ai/record/14496 (originally published by arXiv cs.LG).

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