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  4. Envirobot: A Bio-Inspired Environmental Monitoring Platform
 
conference paper

Envirobot: A Bio-Inspired Environmental Monitoring Platform

Bayat, Behzad  
•
Crespi, Alessandro  
•
Ijspeert, Auke  
2016
2016 Ieee/Oes Autonomous Underwater Vehicles (Auv)
IEEE/OES Conference on Autonomous Underwater Vehicles (AUV)

Autonomous marine vehicles are becoming essential tools in aquatic environmental monitoring systems, and can be used for instance for data acquisition, remote sensing, and mapping of the spatial extent of pollutant spills. In this work, we present an unconventional bio-inspired autonomous robot aimed for execution of such tasks. The Envirobot platform is based on our existing segmented anguilliform swimming robots, but with important adaptations in terms of energy use and efficiency, control, navigation, and communication possibilities. To this end, Envirobot has been designed to have more endurance, flexible computational power, long range communication link, and versatile flexible environmental sensor integration. Its low level control is powered by an ARM processor in the head unit and micro processors in each active module. On top of this, integration of a computer-on-module enables versatile high level control methods. We present some preliminary results and experiments done with Envirobot to test the added navigation and control strategies.

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Type
conference paper
DOI
10.1109/AUV.2016.7778700
Web of Science ID

WOS:000390848000064

Author(s)
Bayat, Behzad  
Crespi, Alessandro  
Ijspeert, Auke  
Date Issued

2016

Publisher

Ieee

Publisher place

New York

Published in
2016 Ieee/Oes Autonomous Underwater Vehicles (Auv)
ISBN of the book

978-1-5090-2442-1

Total of pages

6

Series title/Series vol.

IEEE OES Autonomous Underwater Vehicles

Start page

381

End page

386

Subjects

envirobot

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
BIOROB  
Event nameEvent placeEvent date
IEEE/OES Conference on Autonomous Underwater Vehicles (AUV)

Tokyo, Japan

November 6-9, 2016

Available on Infoscience
November 21, 2016
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/131232
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