Nimble Artificial Intelligence driven robotic solutions for efficient and self-determined handling and assembly operations

Informations projet

MASTERLY

N° de convention de subvention: 101091800

DOI

10.3030/101091800

Projet clôturé

Date de signature de la CE 18 Novembre 2022

Date de début 1 Janvier 2023

Date de fin 30 Juin 2026

Financé au titre de

• Digital, Industry and Space

Coût total

€ 5 683 670,00

Contribution de l’UE

€ 5 683 670,00

Coordonné par

PANEPISTIMIO PATRON
Greece

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Demonstrators, pilots, prototypes (8)

AI driven control, perception and decision-making modules – final version

Document reporting thedesign and final prototypes of the AI driven modules used for perception of parts, gripper control and decisionmaking developed in T3.1, T3.2, T3.3 and T3.4

User-friendly interfaces for robot/machine control and programming – final version

This deliverablereports the final implementation of the modules used for provision of information, robot control and automatedprogramming applied in mobile and stationary robotics undertaken in T4.2, T4.3, T4.4 and T4.5

Robots and grippers communication and control interfaces – initial version

Τhis deliverable reports thedesign and initial implementation of the interfaces for communication of robots and grippers with the rest of theMASTERLY modules, undertaken in T5.1 and T5.2

MASTERLY multi-disciplinary smart mechatronics – initial version

Demonstrator showcasing theinitial version of the robotic and gripper modules

MASTERLY modules integration platform and preliminary pre-pilot demonstrators

This deliverablereports the initial implementation of the integration platform of MASTERLY, along with the outcome of the initialintegration of the modules at three pre-pilot demonstrators, undertaken in T5.3 and T5.4

MASTERLY multi-disciplinary smart mechatronics – final version

Demonstrator showcasing the finalversion of the robotic and gripper modules

User-friendly interfaces for robot/machine control and programming – initial version

This deliverablereports the initial implementation of the modules used for provision of information, robot control and automatedprogramming applied in mobile and stationary robotics undertaken in T4.2, T4.3, T4.4 and T4.5

AI driven control, perception and decision-making modules – initial version

Document reporting thedesign and initial prototypes of the AI driven modules used for perception of parts, gripper control and decisionmaking developed in T3.1, T3.2, T3.3 and T3.4

Websites, patent fillings, videos etc. (1)

MASTERLY public web portal

Report containing actions of design and implementation ofMARTERLY’s public web portal for communication and dissemination activities

Publications

Conference proceedings (14)

Rapid and Precise Method for Object Detection and Localization Based on Primitive Geometrical Forms

Auteurs: Nguyen Nguyen, Hong Phoc; Keunecke, Sophie Charlotte; Corves, Burkhard; Brell-Cokcan, Sigrid; Hüsing, Mathias
Publié dans: Robotics and Mechatronics (ISRM 2024), 2024
Éditeur: Springer, Cham
DOI: 10.1007/978-3-031-59888-3_27

On intelligent object sorting and assembly: versatile end-effector for robotized handling of electrical components

Auteurs: Giorgos Papadopoulos, Dimosthenis Dimosthenopoulos, Fotios Panagiotis Basamakis, George Michalos, Dionisis Andronas, Sotiris Makris
Publié dans: Procedia CIRP, Numéro 128, 2025, ISSN 2212-8271
Éditeur: Elsevier BV
DOI: 10.1016/J.PROCIR.2024.07.051

A User-Centric AI-Enhanced Approach to AR frameworks in Manufacturing

Auteurs: Efthymios Anastasiou, Konstantinos Gkouvas, Apostolis Papavasileiou, George Michalos, Sotiris Makris
Publié dans: Procedia CIRP, Numéro 134, 2025, ISSN 2212-8271
Éditeur: Elsevier BV
DOI: 10.1016/J.PROCIR.2025.02.235

Intelligente Fertigung 4.0 : Digitale Zwillinge, Autonome Roboter und Anomalieerkennung im Fokus der Zukunftstechnologien

Auteurs: Keunecke, Sophie Charlotte; Qiao, Shuai; Hüsing, Mathias; Corves, Burkhard
Publié dans: Zehnte IFToMM D-A-CH Konferenz 2024 : 05./06. März 2024, Universität Rostock (Tenth IFToMM D-A-CH Conference 2024 : March 05-06, 2024, University of Rostock), Numéro 10th, 2024
Éditeur: IFToMM D-A-CH; Universität Duisburg-Essen
DOI: 10.5281/ZENODO.14264695

Developing a Testing Environment for Parameter Optimization of Dynamic Movement Primitives

Auteurs: Erwig, Felix; Weidemann, Carlo; Wiartalla, Jan; Corves, Burkhard; Hüsing, Mathias
Publié dans: 2nd IFToMM International Symposium on Emerging Fields in Mechanisms and Machine Science EFI-MMS 26, 2026, ISSN 2211-0984
Éditeur: 2nd IFToMM International Symposium on Emerging Fields in Mechanisms and Machine Science EFI-MMS 26
DOI: 10.5281/ZENODO.20091704

Towards Enabling Intuitive Interaction and Control of Mobile Robots Utilising Augmented Reality Techniques

Auteurs: Dimosthenis Dimosthenopoulos, George Mountzouridis, George Michalos, Sotiris Makris
Publié dans: Springer Proceedings in Advanced Robotics, European Robotics Forum 2024, 2024, ISBN 978-3-031-76428-8
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-76428-8_57

Parameteroptimierung Dynamischer Bewegungsprimitive : Exemplarisches Design eines Testdurchlaufs

Auteurs: Felix Erwig, Carlo Weidemann, Jan Wiartalla, Burkhard Corves, Mathias Hüsing
Publié dans: IFToMM D-A-CH Konferenz 2026, Numéro 19/20, 2026
Éditeur: IFToMM D-A-CH Konferenz 2026
DOI: 10.17185/DUEPUBLICO/84948

Assessing the Feasibility of Deep Lagrangian Networks for Industrial-Level Control of a Parallel Kinematic Manipulator

Auteurs: Marcel Lahoud, Daniel Gnad, Gabriele Marchello, Ferdinando Cannella, Andreas Müller
Publié dans: Mechanisms and Machine Science, Advances in Service and Industrial Robotics, 2025
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-032-02106-9_9

Inducing Matrix Sparsity Bias for Improved Dynamic Identification of Parallel Kinematic Manipulators using Deep Learning

Auteurs: M. Lahoud, D. Gnad, G. Marchello, M. D'Imperio, A. Müller, F. Cannella
Publié dans: 2025 IEEE International Conference on Robotics and Automation (ICRA), 2025
Éditeur: IEEE
DOI: 10.1109/ICRA55743.2025.11128257

Towards utilising Artificial Intelligence for advanced reasoning and adaptability in human-robot collaborative workstations

Auteurs: Dimosthenis Dimosthenopoulos, Fotios Panagiotis Basamakis, George Mountzouridis, Giorgos Papadopoulos, George Michalos, Sotiris Makris
Publié dans: Procedia CIRP, Numéro 127, 2024, ISSN 2212-8271
Éditeur: Elsevier BV
DOI: 10.1016/J.PROCIR.2024.07.026

Towards optimizing human robot collaborative wiring of control cabinets using automated task allocation

Auteurs: Christos Glykos, Themis Anastasiou, Daniel Gebauer, Giorgos Papadopoulos, Apostolis Papavasileiou, Jonas Dirr, Rüdiger Daub, Sotiris Makris
Publié dans: Procedia CIRP, Numéro 139, 2026, ISSN 2212-8271
Éditeur: Elsevier BV
DOI: 10.1016/J.PROCIR.2025.09.021

Leveraging Generative AI for Synthetic Data Generation: Improving 6-DOF Pose Estimation in Assembly Systems

Auteurs: Christos Konstantinou, Nikos Kampouroglou, Nikos Theodoris, Fotis Basamakis, Christos Gkournelos, Sotiris Makris
Publié dans: Lecture Notes in Mechanical Engineering, Advances in Artificial Intelligence in Manufacturing II, 2025, ISBN 978-3-031-86489-6
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-86489-6_8

A Methodology for Enabling AI-Driven Quality Control in Human-Robot Collaborative Applications

Auteurs: Apostolis Papavasileiou, Dimitris Boulbasakos, George Michalos and Sotiris Makris
Publié dans: 3rd European Symposium on Artificial Intelligence in Manufacturing (ESAIM 2025), 2026, ISSN 0000-0000
Éditeur: 3rd European Symposium on Artificial Intelligence in Manufacturing (ESAIM 2025)

Möglichkeiten zur Simulation realistischer Tiefenschärfe in virtuellen Kameras in Gazebo Harmonic

Auteurs: Wiartalla, Jan; Wu, Heng; Corves, Burkhard; Hüsing, Mathias
Publié dans: 58th CIRP Conference on Manufacturing Systems 2025 (CMS), Numéro 20./21. Februar 2025, 2025
Éditeur: Duisburg-Essen Publications online
DOI: 10.17185/DUEPUBLICO/82926

Peer reviewed articles (6)

Citius, altius, fortius

Auteurs: Aliaga, Luis
Publié dans: ANNnews, 2025, ISSN 0000-0000
Éditeur: ANNnews
DOI: 10.5281/ZENODO.19811940

Exploring Usability And User-experience Metrics With A Novel AR App In The MASTERLY Project

Auteurs: Burns, Christopher
Publié dans: AHFE 2025 Hawaii International Conference on Human Factors in Design, Engineering, and Computing, 2025, ISSN 2771-0718
Éditeur: AHFE 2025 Hawaii International Conference on Human Factors in Design, Engineering, and Computing
DOI: 10.5281/ZENODO.17534792

Towards data-driven quality monitoring of human-centric assembly operations

Auteurs: Apostolis Papavasileiou; Konstantinos Gkouvas; Dimitris Boulbasakos; Sotiris Makris
Publié dans: CIRP Annals, 2026, ISSN 1726-0604
Éditeur: CIRP Annals
DOI: 10.1016/J.CIRP.2026.04.041

Towards intelligent object handling: an advanced end-effector for integrated bin-picking and assembly of electrical components

Auteurs: Evangelos Andronas, Vasilis Mavroeidis, Giorgos Papadopoulos, Apostolis Papavasileiou, Sotiris Makris
Publié dans: The International Journal of Advanced Manufacturing Technology, Numéro 142, 2026, ISSN 0268-3768
Éditeur: Springer Science and Business Media LLC
DOI: 10.1007/S00170-026-17451-9

Energy Efficient RANSAC Algorithm for Flat Surface Detection in Point Clouds

Auteurs: Artem SAZONOV; Anatoliy ZHUCHENKO; Oleksiy KUCHKIN; Danylo ZGHURSKYI
Publié dans: Energy Engineering and Control Systems, Numéro 2 per year, 2023, ISSN 2415-7287
Éditeur: Lviv Polytechnic National University
DOI: 10.23939/jeecs2023.01.047

S3PM: Entropy-Regularized Path Planning for Autonomous Mobile Robots in Dense 3D Point Clouds of Unstructured Environments

Auteurs: Artem Sazonov, Oleksii Kuchkin, Irina Cherepanska, Arūnas Lipnickas
Publié dans: Sensors, Numéro 26, 2026, ISSN 1424-8220
Éditeur: MDPI AG
DOI: 10.3390/S26020731