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Sensors 2016, 16(9), 1378; doi:10.3390/s16091378

Novel Robotic Platforms for the Accurate Sampling and Monitoring of Water Columns

Centre for Automation and Robotics (CAR) CSIC-UPM, Carretera de Campo Real, Km. 0,200, La Poveda, Arganda del Rey, Madrid 28500, Spain
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Author to whom correspondence should be addressed.
Academic Editor: Dan Zhang
Received: 29 June 2016 / Revised: 23 August 2016 / Accepted: 24 August 2016 / Published: 29 August 2016
(This article belongs to the Special Issue Advanced Robotics and Mechatronics Devices)
View Full-Text   |   Download PDF [6318 KB, uploaded 29 August 2016]   |  

Abstract

The hydrosphere contains large amounts of suspended particulate material, including living and non-living material that can be found in different compositions and concentrations, and that can be composed of particles of different sizes. The study of this particulate material along water columns plays a key role in understanding a great variety of biological, chemical, and physical processes. This paper presents the conceptual design of two patented robotic platforms that have been conceived for carrying out studies of water properties at desired depths with very high accuracy in the vertical positioning. One platform has been specially designed for operating near to a reservoir bottom, while the other is intended to be used near the surface. Several experimental tests have been conducted in order to validate the proposed approaches. View Full-Text
Keywords: water column; sampling; monitoring; underwater robotic platforms; profiler; accurate vertical positioning water column; sampling; monitoring; underwater robotic platforms; profiler; accurate vertical positioning
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Fernández, R.; Apalkov, A.; Armada, M. Novel Robotic Platforms for the Accurate Sampling and Monitoring of Water Columns. Sensors 2016, 16, 1378.

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