Towards a consequences-aware emergency landing system for unmanned aerial systems

Xiangyu Wu, M. Mueller
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Abstract

We present an algorithm with which an aerial robot is capable of planning a consequences-aware flight path. The robot is capable of reasoning about possible faults, and which emergency actions are available to it. In this paper, we focus on faults that would force the vehicle to land in a short amount of time, and create a system that allows the vehicle to reason about its ability to execute a safe emergency landing from its current state. Such a system may improve the safety and reduce the economic cost of aerial robots, by allowing them to operate more flexibly whilst still achieving suitable safety. Using an onboard camera, the flying robot is able to identify safe landing spots, and attempt to compute trajectories from a future state to the available landing spots. If no such emergency trajectories are found, the robot must return to the last state at which a safe emergency trajectory was available. Initial in-lab experiments are shown, validating the feasibility of the concept.
面向无人机系统的后果感知紧急着陆系统
我们提出了一种算法,该算法使空中机器人能够规划一个后果感知的飞行路径。机器人能够推理出可能出现的故障,以及可以采取哪些紧急行动。在本文中,我们将重点放在会迫使飞行器在短时间内着陆的故障上,并创建了一个系统,该系统允许飞行器从当前状态推断其执行安全紧急着陆的能力。这样的系统可以提高安全性,降低航空机器人的经济成本,允许他们更灵活地操作,同时仍然达到适当的安全性。使用机载摄像头,飞行机器人能够识别安全着陆点,并尝试计算从未来状态到可用着陆点的轨迹。如果没有找到这样的紧急轨迹,机器人必须返回到安全应急轨迹可用的最后状态。初步的实验室实验显示,验证了该概念的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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