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Published in: Intelligent Service Robotics 2/2022

16-05-2022 | Original Research Paper

Enabling landings on irregular surfaces for unmanned aerial vehicles via a novel robotic landing gear

Authors: TsungHsuan Huang, Armagan Elibol, Nak Young Chong

Published in: Intelligent Service Robotics | Issue 2/2022

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Abstract

Unmanned aerial vehicles (UAVs) have been attracting much attention and changing our daily lives. Recent technological advances in the development of UAVs have drastically increased both their general capabilities and areas of application. Among many others, one of the areas that benefits immediately from using UAVs could be remote inspection, since they can provide an alternative means of access to structures and collect data from locations difficult to reach for human inspectors. Lately, wall-climbing UAVs outfitted with contact-type sensors have been proposed to collect data for the periodic inspection and maintenance of buildings. However, the major drawback is that they can be used only for flat surfaces. In this paper, we present a lightweight robotic landing gear for enabling UAVs to land on irregular surfaces, without affecting the on-board flight control system that keeps the UAV in level flight during the entire mission. Our novel design uses a vacuum system for robotic landing gear to attach to the surface, and the movable counterweight composed of a vacuum motor and other control components to balance the flight. To lighten the total weight of UAV, the proposed robotic landing gear system has only one servo motor for gear operation and a passive mechanical structure that guides the vacuum suction cup at the frontal robotic legs to adapt to different shapes of surfaces. We present details of a prototype mechanism and landing experimental results under different scenarios generated within our laboratory environment.

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Metadata
Title
Enabling landings on irregular surfaces for unmanned aerial vehicles via a novel robotic landing gear
Authors
TsungHsuan Huang
Armagan Elibol
Nak Young Chong
Publication date
16-05-2022
Publisher
Springer Berlin Heidelberg
Published in
Intelligent Service Robotics / Issue 2/2022
Print ISSN: 1861-2776
Electronic ISSN: 1861-2784
DOI
https://doi.org/10.1007/s11370-022-00420-y

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