4.6 Article

Unmanned Aerial Sensor Placement for Cluttered Environments

期刊

IEEE ROBOTICS AND AUTOMATION LETTERS
卷 5, 期 4, 页码 6623-6630

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LRA.2020.3015459

关键词

Aerial systems; applications; robotics in hazardous fields; sensor networks

类别

资金

  1. NERC [NE/L002515/1]
  2. Euratom research and training programme
  3. Grantham Institute - Climate Change and the Environment, Imperial College London
  4. Engineering and Physical Sciences Research Council [EP/R009953/1, EP/N018494/1, EP/R026173/1, EP/S031464/1]
  5. EU [810321]
  6. Royal Society Wolfson fellowship [RSWF/R1/18003]
  7. NPIF [NE/R012229/1]
  8. EURO fusion Consortium
  9. South East Asia Rainforest Research Partnership
  10. [633053]
  11. EPSRC [EP/N018494/1, EP/R026173/1, EP/R009953/1] Funding Source: UKRI

向作者/读者索取更多资源

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].

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