Boaz Ben-Moshe, Yael Landau, Revital Marbel, Aviv Mishiner
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引用次数: 1

摘要

本研究提出了一种以蜜蜂等飞行昆虫为动力的智能微型无人机的概念。所提出的微型无人机可以使用简单的传感器自主执行生物启发的复杂任务,这需要非常低的计算能力。特别地,我们提出了一套基于亚克传感器的避障、导航、群体编队飞行和映射算法,适用于微型无人机的机载处理。通过模拟和现场实验,我们得出结论,许多仿生挑战可以在不使用高分辨率视觉传感器的情况下进行。此外,自主微型无人机可以参与广泛的研究领域,包括:移动传感器网络和搜索与救援的群体算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bio-Inspired Micro Drones
This work presents a concept of intelligent micro drones which are motivated by flying insects such as bees. The presented micro drones can perform bio inspired complex tasks autonomously using simple sensors which require very low computing power. In particular, we present a set of algorithms for obstacle avoiding, navigation, swarm formation flight and mapping all based on sub-gram sensors which are applicable for on-board processing by micro drones. Using both simulation and field experiment we conclude that many bio-inspired challenges can be performed without the use of high resolution visual sensors. Moreover autonomous micro drones can take part in a wide range of research fields including: mobile sensor networks and swarm algorithms for search & rescue.
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