Next Article in Journal
Fuzzy C-Means Clustering and Energy Efficient Cluster Head Selection for Cooperative Sensor Network
Previous Article in Journal
A Small U-Shaped Bending-Induced Interference Optical Fiber Sensor for the Measurement of Glucose Solutions
Previous Article in Special Issue
Subsea Cable Tracking by Autonomous Underwater Vehicle with Magnetic Sensing Guidance
Article Menu

Export Article

Open AccessArticle
Sensors 2016, 16(9), 1461; doi:10.3390/s16091461

Sediment Sampling in Estuarine Mudflats with an Aerial-Ground Robotic Team

1
INTROSYS SA, Introsys—Global Control System Designers, Parkim- Parque Industrial da Moita Rua dos Girassóis, n°1, Lote 6, Armazém A3, 2860-274 Moita, Portugal
2
CTS-UNINOVA, Universidade Nova de Lisboa (UNL), FCT Campus, 2829-516 Caparica, Portugal
3
ISCTE-Instituto Universitário de Lisboa (ISCTE-IUL), 1649-026 Lisboa, Portugal
4
Instituto de Telecomunicações (IT), 1049-001 Lisboa, Portugal
5
Centro de Ciências e Tecnologias Nucleares (C2TN), Instituto Superior Técnico, Universidade de Lisboa, E.N. 10 km 139.7, 2695-066 Bobadela LRS, Portugal
6
Agência Portuguesa do Ambiente (APA), Agência Portuguesa do Ambiente, I.P., Rua da Murgueira, 9/9A-Zambujal, Ap. 7585, 2610-124 Amadora, Portugal
*
Author to whom correspondence should be addressed.
Academic Editors: João Valente and Antonio Barrientos
Received: 1 June 2016 / Revised: 25 August 2016 / Accepted: 27 August 2016 / Published: 9 September 2016
(This article belongs to the Special Issue Robotic Sensory Systems for Environment Protection and Conservation)
View Full-Text   |   Download PDF [33445 KB, uploaded 9 September 2016]   |  

Abstract

This paper presents a robotic team suited for bottom sediment sampling and retrieval in mudflats, targeting environmental monitoring tasks. The robotic team encompasses a four-wheel-steering ground vehicle, equipped with a drilling tool designed to be able to retain wet soil, and a multi-rotor aerial vehicle for dynamic aerial imagery acquisition. On-demand aerial imagery, properly fused on an aerial mosaic, is used by remote human operators for specifying the robotic mission and supervising its execution. This is crucial for the success of an environmental monitoring study, as often it depends on human expertise to ensure the statistical significance and accuracy of the sampling procedures. Although the literature is rich on environmental monitoring sampling procedures, in mudflats, there is a gap as regards including robotic elements. This paper closes this gap by also proposing a preliminary experimental protocol tailored to exploit the capabilities offered by the robotic system. Field trials in the south bank of the river Tagus’ estuary show the ability of the robotic system to successfully extract and transport bottom sediment samples for offline analysis. The results also show the efficiency of the extraction and the benefits when compared to (conventional) human-based sampling. View Full-Text
Keywords: multi-robot system; field robots; UGV; UAV; environmental monitoring; radiological monitoring; heavy metals monitoring; estuarine mudflats multi-robot system; field robots; UGV; UAV; environmental monitoring; radiological monitoring; heavy metals monitoring; estuarine mudflats
Figures

Figure 1

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).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Deusdado, P.; Guedes, M.; Silva, A.; Marques, F.; Pinto, E.; Rodrigues, P.; Lourenço, A.; Mendonça, R.; Santana, P.; Corisco, J.; Almeida, S.M.; Portugal, L.; Caldeira, R.; Barata, J.; Flores, L. Sediment Sampling in Estuarine Mudflats with an Aerial-Ground Robotic Team. Sensors 2016, 16, 1461.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top