Unmanned Aerial Sensor Placement for Cluttered Environments

被引:33
作者
Farinha, Andre [1 ]
Zufferey, Raphael [1 ]
Zheng, Peter [1 ,2 ]
Armanini, Sophie F. [1 ]
Kovac, Mirko [1 ,3 ]
机构
[1] Imperial Coll London, Aerial Robot Lab, London SW7 2AZ, England
[2] Grantham Inst Climate Change & Environm, Sci & Solut Changing Planet DTP, London WC2A 3PH, England
[3] Swiss Fed Labs Mat Sci & Technol, Mat & Technol Ctr Robot, CH-8600 Dubendorf, Switzerland
基金
英国工程与自然科学研究理事会;
关键词
Aerial systems; applications; robotics in hazardous fields; sensor networks; DEPLOYMENT;
D O I
10.1109/LRA.2020.3015459
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
Unmanned aerial vehicles (UAVs) have been shown to be useful for the installation of wireless sensor networks (WSNs). More notably, the accurate placement of sensor nodes using UAVs, opens opportunities for many industrial and scientific uses, in particular, in hazardous environments or inaccessible locations. This publication proposes and demonstrates a new aerial sensor placement method based on impulsive launching. Since direct physical interaction is not required, sensor deployment can be achieved in cluttered environments where the target location cannot be safely approached by the UAV, such as under the forest canopy. The proposed method is based on mechanical energy storage and an ultralight shape memory alloy (SMA) trigger. The developed aerial system weighs a total of 650 grams and can execute up to 17 deployments on a single battery charge. The system deploys sensors of 30 grams up to 4 meters from a target with an accuracy of +/- 10 cm. The aerial deployment method is validated through more than 80 successful deployments in indoor and outdoor environments. The proposed approach can be integrated in field operations and complement other robotic or manual sensor placement procedures. This would bring benefits for demanding industrial applications, scientific field work, smart cities and hazardous environments [Video attachment: https://youtu.be/duPRXCyo6cY].
引用
收藏
页码:6623 / 6630
页数:8
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