Educating Europe`s Future Engineers in Next Generation Heavy Duty Mobile Machinery: Artificial Intelligence driven Robotisation, Energy Efficiency and Process Optimisation

Informazioni relative al progetto

MORE

ID dell’accordo di sovvenzione: 858101

DOI

10.3030/858101

Progetto chiuso

Data della firma CE 24 Luglio 2019

Data di avvio 1 Gennaio 2020

Data di completamento 30 Giugno 2024

Finanziato da

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Costo totale

€ 2 175 647,01

Contributo UE

€ 2 175 647,01

Coordinato da

TAMPEREEN KORKEAKOULUSAATIO SR
Finland

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Other (5)

Three annual events
ESR project pitches

Each ESR will develop a short video on herhis project These fiveminute pitches will be recorded and posted on the MORE website and other platforms eg YouTube will provide an educational resource for a variety of users

Introduction Week

Organising Introduction Week on HDM machinery in different application areas in order to lay the foundations and to equip all ESRs with the same basic knowledge on HDM machines

Joint poster/paper presentations at two conferences minimum
Project event linked to the SICFP@Tampere

Project event linked to the SICFP@Tampere in May 2023

Documents, reports (3)

Outreach Plan

Outreach Plan Dissemination and Communication Plan

Website

The project website is up and running

Mid-term dissemination and assessment report

Midterm dissemination and assessment report

Pubblicazioni

Conference proceedings (18)

Quantified Framework to Classify and Prioritize Stakeholders in Emergent Ecosystems

Autori: Machado, T., Ghabcheloo, R.; Brach, C.; Seppänen, M.
Pubblicato in: 2023, ISBN 978-952-65069-4-4
Editore: LUT Scientific and Expertise Publications

Industry Perspective of stakeholder relationships in the technology transition and automation of heavy-duty mobile machinery

Autori: Machado, T.; Ghabcheloo, R.; Brach, C.;
Pubblicato in: The Eighteenth Scandinavian International Conference on Fluid Power, SICFP'23 : Proceedings, 2023, ISBN 978-952-03-2911-2
Editore: Tampere University

Towards introspective loop closure in 4D radar SLAM

Autori: Maximilian Hilger, Vladimír Kubelka, Daniel Adolfsson, Henrik Andreasson, Achim J. Lilienthal
Pubblicato in: 2024
Editore: ICRA 2024
DOI: 10.48550/arxiv.2404.03940

Towards Multiple Material Loading for Wheel Loaders Using Transfer Learning

Autori: Eriksson, Daniel and Ghabcheloo, Reza and Geimer, Marcus
Pubblicato in: 2023
Editore: Tampere University

A novel framework for the estimation of excavator’s actual productivity in the grading operation using building information modeling (BIM)

Autori: Molaei, Amirmasoud; Geimer, Marcus; Kolu, Antti
Pubblicato in: Numero 4, 2023
Editore: Tampere University
DOI: 10.5445/ir/1000167186

Construction Site Automation: Open Challenges forPlanning and Robotics

Autori: Paolo Forte, Anna Mannucci, Henrik Andreasson and Federico Pecora
Pubblicato in: 2021
Editore: PlanRob

GPU-Accelerated Policy Optimization via Batch Automatic Differentiation of Gaussian Processes for Real-World Control

Autori: Taheri, Abdolreza; Pajarinen, Joni; Ghabcheloo, Reza
Pubblicato in: Crossref, Numero 6, 2022
Editore: IEEE
DOI: 10.1109/icra46639.2022.9811876

Finding the Perfect Match—Different Heavy-Duty Mobile Applications Call for Different Actuators

Autori: David Fassbender, Tatiana Minav
Pubblicato in: Proceedings of 1st International Electronic Conference on Actuator Technology: Materials, Devices and Applications, 2020, Pagina/e 8524
Editore: MDPI
DOI: 10.3390/iecat2020-08524

Towards a Standard Taxonomy for Levels of Automation in Heavy-Duty Mobile Machinery

Autori: Tyrone Machado, Andrei Ahonen, Reza Ghabcheloo
Pubblicato in: ASME/BATH 2021 Symposium on Fluid Power and Motion Control , 2021
Editore: ASME
DOI: 10.1115/fpmc2021-70251

Evaluation of deterministic models for the excavator's theoretical productivity estimation in the digging and trenching operations

Autori: Molaei, Amirmasoud; Geimer, Marcus; Kolu, Antti
Pubblicato in: ISSN: 2684-1150, Numero 10, 2023, ISSN 2684-1150
Editore: European Council on Computing in Construction
DOI: 10.35490/ec3.2023.191

Using Displacement Control for Single Cylinders on an Electric Mobile Machine—Improved Efficiency Versus Increased Component Costs; 2nd revised edition

Autori: Fassbender, David; Brach, Christine; Minav, Tatiana
Pubblicato in: Numero 13, 2022
Editore: IEEE
DOI: 10.18154/rwth-2023-04642

Improving the Energy Efficiency of Single Actuators with High EnergyConsumption: An Electro-Hydraulic Extension of ConventionalMulti-Actuator Load-Sensing Systems

Autori: David Fassbender, Tatiana Minav, Christine Brach, Kalevi Huhtala
Pubblicato in: 2021
Editore: SICFP
DOI: 10.3384/ecp182 

Autonomous Heavy-Duty Mobile Machinery: A Multidisciplinary Collaborative Challenge

Autori: Tyrone Machado, David Fassbender, Abdolreza Taheri, Daniel Eriksson, Himanshu Gupta, Amirmasoud Molaei, Paolo Forte, Prashant Kumar Rai, Reza Ghabcheloo, Saku Mäkinen, Achim J. Lilienthal, Henrik Andreasson, Marcus Geimer
Pubblicato in: 2021
Editore: 2021 IEEE International Conference on Technology and Entrepreneurship (ICTE)
DOI: 10.1109/icte51655.2021.9584498

Automatic Loading of Unknown Material with a Wheel Loader Using Reinforcement Learning

Autori: Daniel Eriksson, Reza Ghabcheloo, Marcus Geimer
Pubblicato in: 2024 IEEE International Conference on Robotics and Automation (ICRA), Numero 164, 2024, Pagina/e 3646-3652
Editore: IEEE
DOI: 10.1109/icra57147.2024.10610221

Impact of Data Quantity and Composition on Bucket Filling Performance for Wheel Loaders

Autori: Daniel Eriksson, Reza Ghabcheloo, Marcus Geimer
Pubblicato in: 2024 European Control Conference (ECC), 2024
Editore: IEEE
DOI: 10.23919/ecc64448.2024.10591162

An Approach for Estimation of Swing Angle and Digging Depth During Excavation Operation

Autori: Molaei, A.; Geimer, M.; Kolu, A.
Pubblicato in: Numero 9, 2022, ISSN 2413-5844
Editore: IEEE
DOI: 10.22260/isarc2022/0087

Revisiting Distribution-Based Registration Methods

Autori: Gupta, H., Andreasson, H., Magnusson, M., Julier, S., & Lilientha, A. J. 
Pubblicato in: 2023
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/ecmr59166.2023.10256416

Robust Object Detection in Challenging Weather Conditions

Autori: Gupta, H., Kotlyar, O., Andreasson, H., Lilienthal, A.J.
Pubblicato in: 2024, Pagina/e 7508-7517, ISBN 835031892-0
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/wacv57701.2024.00735

Peer reviewed articles (13)

Experimental Investigations of Partially Valve-, Partially Displacement-Controlled Electrified Telehandler Implements

Autori: David Fassbender; Christine Brach; Tatiana Minav
Pubblicato in: Volume 12, Numero 14, 2023, ISSN 2076-0825
Editore: MDPI
DOI: 10.3390/act12020050

Online Task Assignment and Coordination in Multi-Robot Fleets

Autori: Paolo Forte, Anna Mannucci, Henrik Andreasson and Federico Pecora
Pubblicato in: IEEE Robotics and Automation Letters, Numero IEEE Robotics and Automation Letters, vol. 6, no. 3, pp. 4584-4591, 2021, Pagina/e 4584-4591, ISSN 2377-3766
Editore: IEEE
DOI: 10.1109/lra.2021.3068918

An exploratory study of software engineering in heavy-duty mobile machine automation

Autori: Andrei Ahonen; Marea de Koning; Tyrone Machado; Reza Ghabcheloo; Outi Sievi-Korte
Pubblicato in: Crossref, Numero 3, 2023, ISSN 0921-8890
Editore: Elsevier BV
DOI: 10.1016/j.robot.2023.104424

Automatic recognition of excavator working cycles using supervised learning and motion data obtained from inertial measurement units (IMUs)

Autori: Amirmasoud Molaei, Antti Kolu, Kalle Lahtinen, Marcus Geimer
Pubblicato in: Construction Robotics, Numero 8, 2024, ISSN 2509-811X
Editore: Construction Robotics
DOI: 10.1007/s41693-024-00130-0

Utilization of electric prime movers in hydraulic heavy-duty-mobile-machine implement systems

Autori: David Fassbender, Viacheslav Zakharov, Tatiana Minav
Pubblicato in: Automation in Construction, 2021, ISSN 0926-5805
Editore: Elsevier BV
DOI: 10.1016/j.autcon.2021.103964

Automatic Estimation of Excavator’s Actual Productivity in Trenching and Grading Operations Using Building Information Modeling (BIM)

Autori: Amirmasoud Molaei; Antti Kolu; Niko Haaraniemi; Marcus Geimer
Pubblicato in: Actuators, Vol 12, Iss 11, p 423 (2023), Numero 1, 2023, ISSN 2076-0825
Editore: MDPI
DOI: 10.3390/act12110423

Automatic estimation of excavator actual and relative cycle times in loading operations

Autori: Molaei, Amirmasoud; Kolu, Antti; Lahtinen, Kalle; Geimer, Marcus
Pubblicato in: Automation in Construction, Numero 11, 2023, Pagina/e 1872-7891, ISSN 0926-5805
Editore: Elsevier BV
DOI: 10.1016/j.autcon.2023.105080

NDT-6D for color registration in agri-robotic applications

Autori: Himanshu Gupta, Achim J. Lilienthal, Henrik Andreasson, Polina Kurtser
Pubblicato in: Journal of Field Robotics, Numero Volume 40, Numero 6, 2023, Pagina/e Pages 1603 - 1619, ISSN 1556-4959
Editore: John Wiley & Sons Ltd.
DOI: 10.1002/rob.22194

Comparison of machine learning methods for automatic bucket filling: An imitation learning approach

Autori: Eriksson, Daniel; Ghabcheloo, Reza
Pubblicato in: Crossref, Numero 11, 2023, ISSN 0926-5805
Editore: Elsevier BV
DOI: 10.1016/j.autcon.2023.104843

Robust Scan Registration for Navigation in Forest Environment Using Low-Resolution LiDAR Sensors

Autori: Himanshu Gupta; Henrik Andreasson; Achim J. Lilienthal; Polina Kurtser
Pubblicato in: Sensors, Vol 23, Iss 10, p 4736 (2023), Numero 1, 2023, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s23104736

Nonlinear Model Learning for Compensation and Feedforward Control of Real-World Hydraulic Actuators Using Gaussian Processes

Autori: Abdolreza Taheri; Pelle Gustafsson; Marcus Rosth; Reza Ghabcheloo; Joni Pajarinen
Pubblicato in: Crossref, Numero 6, 2022, ISSN 2377-3766
Editore: IEEE
DOI: 10.1109/lra.2022.3190808

An Algorithm for the Broad Evaluation of Potential Matches between Actuator Concepts and Heavy-Duty Mobile Applications

Autori: David Fassbender; Tatiana Minav
Pubblicato in: Actuators, Vol 10, Iss 111, p 111 (2021), Numero 1, 2021, ISSN 2076-0825
Editore: MDPI
DOI: 10.3390/act10060111

4DEgo: ego-velocity estimation from high-resolution radar data

Autori: Rai, Prashant; Strokina, Nataliya; Ghabcheloo, Reza
Pubblicato in: Crossref, Numero 6, 2023, ISSN 2673-8198
Editore: Front. Signal Process.
DOI: 10.3389/frsip.2023.1198205

Thesis and dissertations (1)

Towards Energy-Efficient Electrified Mobile Hydraulics : Considering Varying Application Conditions

Autori: Fassbender, David
Pubblicato in: Numero 1, 2023
Editore: Tampere University