提升无人机自主飞行安全性，覆盖动态环境、资源限制与对抗攻击
Enabling Safety for Aerial Robots: Planning and Control Architectures
- 从导航、资源管理、抗干扰多角度设计安全架构
- 硬件实验验证了系统在复杂场景下的稳定运行
- 适合关注无人机安全控制的工程与研究者
确保自主飞行的安全性对于空中机器人在真实场景中的应用至关重要。然而，安全性是一个多维度挑战，需从多个方面应对：在动态环境中导航、在资源受限条件下运行，以及对对抗性攻击和不确定性具备鲁棒性。本文介绍了作者近期在解决这些挑战方面的研究成果，强调了提升自主空中系统安全性与性能的关键要素。所有提出的方法均通过硬件实验进行了验证。
原文摘要 · Abstract (English)
Ensuring safe autonomy is crucial for deploying aerial robots in real-world applications. However, safety is a multifaceted challenge that must be addressed from multiple perspectives, including navigation in dynamic environments, operation under resource constraints, and robustness against adversarial attacks and uncertainties. In this paper, we present the authors' recent work that tackles some of these challenges and highlights key aspects that must be considered to enhance the safety and performance of autonomous aerial systems. All presented approaches are validated through hardware experiments.
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