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

Project Information

MORE

Grant agreement ID: 858101

DOI

10.3030/858101

Project closed

EC signature date 24 July 2019

Start date 1 January 2020

End date 30 June 2024

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost

€ 2 175 647,01

EU contribution

€ 2 175 647,01

Coordinated by

TAMPEREEN KORKEAKOULUSAATIO SR
Finland

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

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

Publications

Conference proceedings (18)

Quantified Framework to Classify and Prioritize Stakeholders in Emergent Ecosystems

Author(s): Machado, T., Ghabcheloo, R.; Brach, C.; Seppänen, M.
Published in: 2023, ISBN 978-952-65069-4-4
Publisher: LUT Scientific and Expertise Publications

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

Author(s): Machado, T.; Ghabcheloo, R.; Brach, C.;
Published in: The Eighteenth Scandinavian International Conference on Fluid Power, SICFP'23 : Proceedings, 2023, ISBN 978-952-03-2911-2
Publisher: Tampere University

Towards introspective loop closure in 4D radar SLAM

Author(s): Maximilian Hilger, Vladimír Kubelka, Daniel Adolfsson, Henrik Andreasson, Achim J. Lilienthal
Published in: 2024
Publisher: ICRA 2024
DOI: 10.48550/arxiv.2404.03940

Towards Multiple Material Loading for Wheel Loaders Using Transfer Learning

Author(s): Eriksson, Daniel and Ghabcheloo, Reza and Geimer, Marcus
Published in: 2023
Publisher: Tampere University

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

Author(s): Molaei, Amirmasoud; Geimer, Marcus; Kolu, Antti
Published in: Issue 4, 2023
Publisher: Tampere University
DOI: 10.5445/ir/1000167186

Construction Site Automation: Open Challenges forPlanning and Robotics

Author(s): Paolo Forte, Anna Mannucci, Henrik Andreasson and Federico Pecora
Published in: 2021
Publisher: PlanRob

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

Author(s): Taheri, Abdolreza; Pajarinen, Joni; Ghabcheloo, Reza
Published in: Crossref, Issue 6, 2022
Publisher: IEEE
DOI: 10.1109/icra46639.2022.9811876

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

Author(s): David Fassbender, Tatiana Minav
Published in: Proceedings of 1st International Electronic Conference on Actuator Technology: Materials, Devices and Applications, 2020, Page(s) 8524
Publisher: MDPI
DOI: 10.3390/iecat2020-08524

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

Author(s): Tyrone Machado, Andrei Ahonen, Reza Ghabcheloo
Published in: ASME/BATH 2021 Symposium on Fluid Power and Motion Control , 2021
Publisher: ASME
DOI: 10.1115/fpmc2021-70251

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

Author(s): Molaei, Amirmasoud; Geimer, Marcus; Kolu, Antti
Published in: ISSN: 2684-1150, Issue 10, 2023, ISSN 2684-1150
Publisher: 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

Author(s): Fassbender, David; Brach, Christine; Minav, Tatiana
Published in: Issue 13, 2022
Publisher: 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

Author(s): David Fassbender, Tatiana Minav, Christine Brach, Kalevi Huhtala
Published in: 2021
Publisher: SICFP
DOI: 10.3384/ecp182 

Autonomous Heavy-Duty Mobile Machinery: A Multidisciplinary Collaborative Challenge

Author(s): 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
Published in: 2021
Publisher: 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

Author(s): Daniel Eriksson, Reza Ghabcheloo, Marcus Geimer
Published in: 2024 IEEE International Conference on Robotics and Automation (ICRA), Issue 164, 2024, Page(s) 3646-3652
Publisher: IEEE
DOI: 10.1109/icra57147.2024.10610221

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

Author(s): Daniel Eriksson, Reza Ghabcheloo, Marcus Geimer
Published in: 2024 European Control Conference (ECC), 2024
Publisher: IEEE
DOI: 10.23919/ecc64448.2024.10591162

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

Author(s): Molaei, A.; Geimer, M.; Kolu, A.
Published in: Issue 9, 2022, ISSN 2413-5844
Publisher: IEEE
DOI: 10.22260/isarc2022/0087

Revisiting Distribution-Based Registration Methods

Author(s): Gupta, H., Andreasson, H., Magnusson, M., Julier, S., & Lilientha, A. J. 
Published in: 2023
Publisher: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/ecmr59166.2023.10256416

Robust Object Detection in Challenging Weather Conditions

Author(s): Gupta, H., Kotlyar, O., Andreasson, H., Lilienthal, A.J.
Published in: 2024, Page(s) 7508-7517, ISBN 835031892-0
Publisher: 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

Author(s): David Fassbender; Christine Brach; Tatiana Minav
Published in: Volume 12, Issue 14, 2023, ISSN 2076-0825
Publisher: MDPI
DOI: 10.3390/act12020050

Online Task Assignment and Coordination in Multi-Robot Fleets

Author(s): Paolo Forte, Anna Mannucci, Henrik Andreasson and Federico Pecora
Published in: IEEE Robotics and Automation Letters, Issue IEEE Robotics and Automation Letters, vol. 6, no. 3, pp. 4584-4591, 2021, Page(s) 4584-4591, ISSN 2377-3766
Publisher: IEEE
DOI: 10.1109/lra.2021.3068918

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

Author(s): Andrei Ahonen; Marea de Koning; Tyrone Machado; Reza Ghabcheloo; Outi Sievi-Korte
Published in: Crossref, Issue 3, 2023, ISSN 0921-8890
Publisher: 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)

Author(s): Amirmasoud Molaei, Antti Kolu, Kalle Lahtinen, Marcus Geimer
Published in: Construction Robotics, Issue 8, 2024, ISSN 2509-811X
Publisher: Construction Robotics
DOI: 10.1007/s41693-024-00130-0

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

Author(s): David Fassbender, Viacheslav Zakharov, Tatiana Minav
Published in: Automation in Construction, 2021, ISSN 0926-5805
Publisher: 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)

Author(s): Amirmasoud Molaei; Antti Kolu; Niko Haaraniemi; Marcus Geimer
Published in: Actuators, Vol 12, Iss 11, p 423 (2023), Issue 1, 2023, ISSN 2076-0825
Publisher: MDPI
DOI: 10.3390/act12110423

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

Author(s): Molaei, Amirmasoud; Kolu, Antti; Lahtinen, Kalle; Geimer, Marcus
Published in: Automation in Construction, Issue 11, 2023, Page(s) 1872-7891, ISSN 0926-5805
Publisher: Elsevier BV
DOI: 10.1016/j.autcon.2023.105080

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

Author(s): Himanshu Gupta, Achim J. Lilienthal, Henrik Andreasson, Polina Kurtser
Published in: Journal of Field Robotics, Issue Volume 40, Issue 6, 2023, Page(s) Pages 1603 - 1619, ISSN 1556-4959
Publisher: John Wiley & Sons Ltd.
DOI: 10.1002/rob.22194

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

Author(s): Eriksson, Daniel; Ghabcheloo, Reza
Published in: Crossref, Issue 11, 2023, ISSN 0926-5805
Publisher: Elsevier BV
DOI: 10.1016/j.autcon.2023.104843

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

Author(s): Himanshu Gupta; Henrik Andreasson; Achim J. Lilienthal; Polina Kurtser
Published in: Sensors, Vol 23, Iss 10, p 4736 (2023), Issue 1, 2023, ISSN 1424-8220
Publisher: 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

Author(s): Abdolreza Taheri; Pelle Gustafsson; Marcus Rosth; Reza Ghabcheloo; Joni Pajarinen
Published in: Crossref, Issue 6, 2022, ISSN 2377-3766
Publisher: IEEE
DOI: 10.1109/lra.2022.3190808

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

Author(s): David Fassbender; Tatiana Minav
Published in: Actuators, Vol 10, Iss 111, p 111 (2021), Issue 1, 2021, ISSN 2076-0825
Publisher: MDPI
DOI: 10.3390/act10060111

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

Author(s): Rai, Prashant; Strokina, Nataliya; Ghabcheloo, Reza
Published in: Crossref, Issue 6, 2023, ISSN 2673-8198
Publisher: Front. Signal Process.
DOI: 10.3389/frsip.2023.1198205

Thesis and dissertations (1)

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

Author(s): Fassbender, David
Published in: Issue 1, 2023
Publisher: Tampere University