Co3 AUVs
Cooperative Cognitive Control for Autonomous Underwater Vehicles

Project Information
Funding Agency EU FP7
My Role Researcher
Project Website
Duration February 2009 to January 2012
Coordinator Jacobs University Bremen gGmbH, Germany
Partners Jacobs University Bremen gGmbH, Germany
Universita degli Studi di Genova, Italy
Graal Tech SRL, Italy
Instituto Superior Tecnico, Lisbon, Portugal
Universita di Pisa, Italy
Universita del Salento, Italy
Universita degli Studi di Cassino e del Lazio Meridonale, Italy

My role in the project

As a researcher working on 2D/3D multi-robot simultaneous localization and mapping (SLAM), I was able to publish several papers and give a number of conference talks. I was also responsible for the development of the custom underwater simulator and the hardware integration of and driver development for several underwater sensors used with our underwater robot. I co-organized two project summer schools and gave lectures on the topics of high-fidelity multi-robot simulations and multi-robot SLAM.

Additionally, I spent two weeks visiting the Dynamic Systems and Ocean Robotics (DSOR) group of Prof. Antonio Pascoal within the Institute for Systems and Robotics at the Instituto Superior Tecnico Lisbon, where I gave a talk about my ongoing research within the institute’s seminar series.

Executive Summary

The Co3AUVs project focused on novel methods for underwater multi-robot systems. Three main pillars were investigated: 3D perception and mapping, distributed (formation) control, and multi-vehicle planning.

See also the project entry on Cordis.

Video - Custom Simulator

Video - Path Following in Formation

Project Objectives

Autonomous Underwater Vehicles (AUVs) represent one of the most challenging frontiers for robotics research. AUVs work in an unstructured environment and face unique perception, decision, control and communications difficulties. Currently, the state of the art is dominated by single AUVs limited to open-sea preplanned trajectories with offline postprocessing of the data gathered during the mission. The use of multiple AUVs as propagated in this project is still in a very early research phase. Some of the research issues addressed in this project are even completely uncharted territory, especially the development of functionalities to seamlessly monitor critical underwater infrastructures and to detect anomalous situations (e.g., missions related to harbour safety and security) and the study of advanced AUVs capable of interacting with humans to perform such functions as companion/support platforms during scientific and commercial dives. The aim of the Co3-AUVs project is to develop, implement and test advanced cognitive systems for coordination and cooperative control of multiple AUVs. Several aspects will be investigated including 3D perception and mapping, cooperative situation awareness, deliberation and navigation as well as behavioral control strictly linked with the underwater communication challenges. As a result, the team of AUVs will cooperate in challenging scenarios in the execution of missions where all data is online processed. In doing so, the team will be robust with respect to failures and environmental changes. These key features will be tested in a harbor scenario where additional difficulties with respect to open sea applications arise and in a human diver assistance scenario that also illustrates human robot interaction issues.

Related Papers

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