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doctoral thesis

Cooperative Multi-Robot Systems for Aquatic Environmental Sensing

Quraishi, Anwar Ahmad  
2021

Bringing advantages of parallelism and robustness, distributed robotic systems have become an active subject of research since many years. Yet, the progress in that direction with Autonomous Underwater Vehicles (AUVs) has been limited. This project aims at developing a cooperative multi-AUV system for limnological surveying. Current underwater sensing techniques rely on manually deploying sensor probes, a tedious process that provides data at limited resolutions. In contrast, multiple robots equipped with measurement probes and operating in parallel can quickly obtain high-resolution 3D environmental snapshots â essential to capture small-scale, fast-changing phenomena. Several methods exist in literature for such cooperative sensing strategies with aerial and ground robots. However, underwater environments pose additional challenges, primarily with regard to navigation and communication. Considering the complexity and cost of existing solutions for large marine AUVs, a cooperative system with miniature AUVs calls for developing novel techniques. We aim to address the aforementioned challenges within this project. Subsequently, we intend to study how we can exploit in-water cooperation among several AUVs for improving navigation as well as quality and efficiency of the data gathering process.

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Type
doctoral thesis
DOI
10.5075/epfl-thesis-7771
Author(s)
Quraishi, Anwar Ahmad  
Advisors
Martinoli, Alcherio  
Jury

Prof. Auke Ijspeert (président) ; Prof. Alcherio Martinoli (directeur de thèse) ; Prof. Francesco Mondada, Prof. António Pascoal, Prof. Gaurav Sukhatme (rapporteurs)

Date Issued

2021

Publisher

EPFL

Publisher place

Lausanne

Public defense year

2021-11-12

Thesis number

7771

Total of pages

170

Subjects

Underwater robotics

•

distributed robotics

•

localization

•

acoustic ranging

•

acoustic communication

•

cooperative localization

•

adaptive environmental sampling

EPFL units
DISAL  
Faculty
ENAC  
School
IIE  
Doctoral School
EDRS  
Available on Infoscience
October 28, 2021
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/182591
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