English(EN) Statistical Turbulence and High-Fidelity Disturbance Fields for Quadrotor Flight Control

更简单的风模型提高了四旋翼飞行控制的鲁棒性

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-07 04:00

研究人员调查了风场保真度对使用Proximal Policy Optimization (PPO) 训练的四旋翼飞行控制策略鲁棒性的影响。该研究比较了从无风条件到复杂大涡模拟场的五种扰动级别，发现一种更简单的训练方法——离散阵风域随机化——在各种风速下表现最佳。研究结果表明，控制能力而非风的真实性是限制鲁棒性的主要因素，这表明在风场保真度方面的投入应与平台对风的敏感度保持一致。 AI

影响这项研究可能有助于在复杂天气条件下实现更鲁棒的自主无人机导航。

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在 arXiv cs.LG 阅读 →

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arXiv cs.LG TIER_1 English(EN) · Xun Huang · 2026-10-07 04:00

四旋翼飞行控制的统计湍流和高保真扰动场

arXiv:2610.06874v1 Announce Type: cross Abstract: Reinforcement-learning quadrotor controllers are usually trained under simplified wind models, yet the impact of wind-field fidelity, as opposed to magnitude, on policy robustness remains unquantified. This paper compares five dis…

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四旋翼飞行控制的统计湍流和高保真扰动场

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