AerIal RoBotic technologies for professiOnal seaRch aNd rescuE

Projektinformationen

AirBorne

ID Finanzhilfevereinbarung: 780960

DOI 10.3030/780960

Projekt abgeschlossen

EK-Unterschriftsdatum 4 Dezember 2017

Startdatum 1 Januar 2018

Enddatum 30 April 2021

Finanziert unter

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

Gesamtkosten € 2 931 193,75

EU-Beitrag € 2 295 998,13

Koordiniert durch

ALMA MATER STUDIORUM - UNIVERSITA DI BOLOGNA
Italy

Leistungen

Websites, patent fillings, videos etc. (3)

D9.2 Release of professional videos

Promotional videos for dissemination

D9.3 Promotional videos for dissemination

Promotional videos for dissemination

D9.1 Project website

The website will be released at the beginning of the project and maintained during its duration.

Documents, reports (6)

D7.1 Benchmarks definition

This document details the contours of the three BM with measure-of-success indicators.

D2.8 Flight, operating and maintenance manuals plus training material

Documents needed to operate the drones and to train new operators One release at each version delivery

D9.4 Report on dissemination activities

Inform about the activities carried out in Tasks 82 and 83

D2.6 Flight, operating and maintenance manuals plus training material

Documents needed to operate the drones and to train new operators One release at each version delivery

D2.7 Flight, operating and maintenance manuals plus training material

Documents needed to operate the drones and to train new operators One release at each version delivery

D2.5 Flight, operating and maintenance manuals plus training material

Documents needed to operate the drones and to train new operators. One release at each version delivery.

Veröffentlichungen

Book chapters (1)

An ARVA Sensor Simulator

Autoren: Jonathan Cacace, Nicola Mimmo, Lorenzo Marconi
Veröffentlicht in: Robot Operating System (ROS) - The Complete Reference (Volume 5), Ausgabe 895, 2021, Seite(n) 233-266, ISBN 978-3-030-45955-0
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-030-45956-7_8

Peer reviewed articles (3)

On the Semi-Global Stability of an EK-Like Filter

Autoren: Pauline Bernard, Nicola Mimmo, Lorenzo Marconi
Veröffentlicht in: IEEE Control Systems Letters, Ausgabe 5/5, 2021, Seite(n) 1771-1776, ISSN 2475-1456
Herausgeber: IEEE
DOI: 10.1109/lcsys.2020.3044030

Adaptive output regulation for linear systems via discrete-time identifiers

Autoren: Michelangelo Bin, Lorenzo Marconi, Andrew R. Teel
Veröffentlicht in: Automatica, Ausgabe 105, 2019, Seite(n) 422-432, ISSN 0005-1098
Herausgeber: Pergamon Press Ltd.
DOI: 10.1016/j.automatica.2019.04.019

Output regulation by postprocessing internal models for a class of multivariable nonlinear systems

Autoren: Michelangelo Bin, Lorenzo Marconi
Veröffentlicht in: International Journal of Robust and Nonlinear Control, Ausgabe 30/3, 2019, Seite(n) 1115-1140, ISSN 1049-8923
Herausgeber: John Wiley & Sons Inc.
DOI: 10.1002/rnc.4811

Conference proceedings (8)

A System Theoretical Perspective to Gradient-Tracking Algorithms for Distributed Quadratic Optimization

Autoren: Michelangelo Bin, Ivano Notarnicola, Lorenzo Marconi, Giuseppe Notarstefano
Veröffentlicht in: 2019 IEEE 58th Conference on Decision and Control (CDC), 2019, Seite(n) 2994-2999, ISBN 978-1-7281-1398-2
Herausgeber: IEEE
DOI: 10.1109/cdc40024.2019.9029824

Necessary Conditions for Output Regulation with Exosystem Modelled by Differential Inclusions

Autoren: Quentin Petit, Michelangelo Bin, Lorenzo Marconi
Veröffentlicht in: IFAC-PapersOnLine, Ausgabe 51/13, 2018, Seite(n) 25-30, ISSN 2405-8963
Herausgeber: 2nd IFAC Conference on Modelling, Identification and Control of Nonlinear Systems MICNON 2018
DOI: 10.1016/j.ifacol.2018.07.249

The Chicken-Egg Dilemma and the Robustness Issue in Nonlinear Output Regulation with a Look Towards Adaptation and Universal Approximators

Autoren: Michelangelo Bin, Lorenzo Marconi
Veröffentlicht in: 2018 IEEE Conference on Decision and Control (CDC), 2018, Seite(n) 5391-5396, ISBN 978-1-5386-1395-5
Herausgeber: IEEE
DOI: 10.1109/CDC.2018.8619002

Results on Adaptive Output Regulation for Linear Systems by Least-Squares Identifiers

Autoren: Michelangelo Bin, Lorenzo Marconi, Andrew R. Teel
Veröffentlicht in: 2018 IEEE Conference on Decision and Control (CDC), 2018, Seite(n) 1391-1396, ISBN 978-1-5386-1395-5
Herausgeber: IEEE
DOI: 10.1109/CDC.2018.8618913

Robust Control of an Aerial Manipulator Interacting with the Environment

Autoren: R. Naldi, A. Macchelli, N. Mimmo, L. Marconi
Veröffentlicht in: IFAC-PapersOnLine, Ausgabe 51/13, 2018, Seite(n) 537-542, ISSN 2405-8963
Herausgeber: 2nd IFAC Conference on Modelling, Identification and Control of Nonlinear Systems MICNON 2018
DOI: 10.1016/j.ifacol.2018.07.335

About Robustness of Internal Model-Based Control for Linear and Nonlinear Systems

Autoren: Michelangelo Bin, Daniele Astolfi, Lorenzo Marconi, Laurent Praly
Veröffentlicht in: 2018 IEEE Conference on Decision and Control (CDC), 2018, Seite(n) 5397-5402, ISBN 978-1-5386-1395-5
Herausgeber: IEEE
DOI: 10.1109/CDC.2018.8619176

Adaptive Output Regulation for Multivariable Linear Systems via Slow Identifiers

Autoren: Alessandro Melis, Michelangelo Bin, Lorenzo Marconi
Veröffentlicht in: 2019 18th European Control Conference (ECC), 2019, Seite(n) 4283-4288, ISBN 978-3-907144-00-8
Herausgeber: IEEE
DOI: 10.23919/ecc.2019.8796134

A ROS Gazebo plugin to simulate ARVA sensors

Autoren: Jonathan Cacace, Nicola Mimmo, Lorenzo Marconi
Veröffentlicht in: 2020 IEEE International Conference on Robotics and Automation (ICRA), 2020, Seite(n) 7233-7239, ISBN 978-1-7281-7395-5
Herausgeber: IEEE
DOI: 10.1109/icra40945.2020.9196914