English(EN) Robust Autonomous UAV Landing on Maritime Platforms via Multimodal Agentic AI and Active Wave Compensation

AI框架助力无人机在颠簸海况下实现100%着陆成功率

作者 PulseAugur 编辑部 · [1 个来源] · 2026-06-30 13:03

研究人员开发了一种新颖的框架，用于无人机（UAV）在海上平台上的自主着陆，解决了恶劣海况带来的挑战。该系统采用了两个独立的深度强化学习（DRL）代理：一个使用软Actor-Critic（SAC）进行着陆甲板的主动波浪补偿，另一个负责无人机的最终进近。模拟显示，即使在恶劣条件下，平台也能在1度以内保持水平稳定，着陆成功率达到100%。 AI

影响提高了在严峻海事环境中自主运行的可靠性和安全性。

排序理由这是一篇研究论文，详细介绍了一种针对特定问题的创新技术方法。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.CV TIER_1 English(EN) · Andry M. Pinto · 2026-06-30 13:03

基于多模态代理AI和主动波浪补偿的鲁棒自主无人机在海上平台着陆

Autonomous aerial inspection of marine infrastructure is frequently compromised by stochastic sea states, introducing risks of high-kinetic impacts, post-landing toppling, and sensory occlusion. This paper proposes a decoupled, multi-vehicle landing framework synchronizing an Unm…

本文如何被排名

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基于多模态代理AI和主动波浪补偿的鲁棒自主无人机在海上平台着陆

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