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ACR-Drone: Adaptive Contextual Reasoning for Enhanced Self-Iterative Drone Autonomy

2026-03-20

Abstract excerpt

Achieving fully autonomous embodied agents, particularly drones, in complex and dynamic real-world environments remains a significant challenge. While Large Language Models (LLMs) have advanced decision-making, existing systems struggle with extreme dynamic changes, instruction ambiguities, or complex failure modes requiring deeper scene understanding. Specifically, the efficiency of self-correction systems relies...

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Identifiers and source

Literature Corpus work
3202f530-212c-5de4-afef-96ea7b6ff92c
DOI
10.22541/au.177401870.07626516/v1
Open publication

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ACR-Drone: Adaptive Contextual Reasoning for Enhanced Self-Iterative Drone AutonomyDOI 10.22541/au.177401870.07626516/v1
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