Social industrial collaborative environments integrating AI, Big Data and Robotics for smart manufacturing

Digital, Industry & SpaceHORIZON-IAID: 101058521
EC Contribution
€80,939
Consortium Size
17 orgs
Start Year
2022
Summary

Global economic crises and the COVID19 pandemic have dictated manufacturing firms to rethink their production and business models. Production systems need to adopt both human and automated resources that can work together seamlessly. As a response, CONVERGING aims to Develop, deploy, validate and promote smart and reconfigurable production systems including multiple autonomous agents (collaborative robots, AGVs, humans) that are able to act in diverse production environments. The diversifying factors will be a multi-level AI based cognition (line, station, resource levels) which will exploit the collective perception (Digital Pipeline) of these resources, allowing them to interact with each other and seamlessly coexist with humans under a ""social industrial environment"" that ensures trustful, safe and inclusive user experienceThe project proposes the development of systems that can:1. Perceive: Identify and recognize processes/resources/environment and their status by introducing Big Data, Real Time Integration & Communication Architecture, Digital Twins and Human in the Loop techniques2. Reason: Analyze the production system status and autonomously formulate plan of actions using AI, Planning and Reconfiguration Algorithms as well as Resource Autonomy solutions3. Adapt: Automatically modify h/w and control systems to execute the formulated plans through the use of Robotics and Autonomous Systems, Smart Devices and Adaptable Mechatronics 4. Collaborate: Seamlessly work with humans or other resources establishing a social industrial environment which exploits Smart Human Machine Collaboration, User experience assessment and User centric workplace design 5. Innovate: Expand its capabilities and Openness via an Open Pilot Network as well as links to local and international innovation ecosystemsCONVERGING will demonstrate its results in the Automotive, Aircraft Production, White Goods and Additive Manufacturing products processing sectors.""

Consortium (17)

Project Results (27)

Source: CORDIS, the EU research results database.

Publications (23)
Automated Configuration of BaSyx DataBridge using Standardized Asset Administration Shell Interface Modelling
2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA)· 2025DOI
Andrés Pérez Vaz, Emilio Costa Tobío, Davinia Fernández Martínez, Lucía Alonso Ferreira
Bio-inspired robots for confined space industrial applications: a novel cable-driven snake robot design
Procedia CIRP· 2025DOI
Nikos Dimitropoulos, Niki Tzirtzilaki, George Michalos, Sotiris Makris
End-user engagement in developing Virtual Reality Training systems for Industry 5.0
AHFE International, Human Aspects of Advanced Manufacturing, Production Management and Process Control· 2025DOI
Vaishnavi Sashidharan, Sarah Fletcher, Diego Sagasti Mota, Eduardo Ibañez, Nikos Dimitropoulos, Ilias Tompoulidis
Generative AI for automated task modelling and task allocation in human robot collaborative applications
CIRP Annals· 2025DOI
Nikos Dimitropoulos, Michalis Kaipis, Stavros Giartzas, George Michalos
Industrial Cabling in Constrained Environments: a Practical Approach and Current Challenges
2025 IEEE/SICE International Symposium on System Integration (SII)· 2025DOI
Jaya Tanureza, Benjamin Michalak, Marcel Radke, Kevin Haninger
Multidisciplinary Perspectives on Ethical AI-Enabled Human-Robot Interaction in Manufacturing
AHFE International, Human Factors in Robots, Drones and Unmanned Systems· 2025DOI
Maryam Bathaeijavareshk, Iveta Eimontaite, Sarah Fletcher, Nikolaos Koufokotsios
Planning Human-Robot Co-Manipulation With Human Motor Control Objectives and Multi-Component Reaching Strategies
IEEE Robotics and Automation Letters· 2025DOI
Kevin Haninger, Luka Peternel
Teaching contact-rich tasks from visual demonstrations by constraint extraction
2025 IEEE 21st International Conference on Automation Science and Engineering (CASE 2025)· 2025DOI
Hegeler, Christian; Rozzi, Filippo; Roveda, Loris; Haninger, Kevin
Advancing human-robot collaboration: Predicting operator trajectories through AI and infrared imaging
Journal of Manufacturing Systems· 2024DOI
Konstantinos Katsampiris-Salgado, Nikos Dimitropoulos, Christos Gkrizis, George Michalos, Sotiris Makris
Advancing Human-Robot Interaction Using AI – A Large Language Model (LLM) Approach
Lecture Notes in Mechanical Engineering, Advances in Artificial Intelligence in Manufacturing· 2024DOI
Nikos Dimitropoulos, Pantelis Papalexis, George Michalos, Sotiris Makris
CIRP Annals - Manufacturing Technology
CIRP Annals· 2024DOI
Aristeidou, C., Dimitropoulos, N., & Michalos, G.
Collaboration and Co-creation in Industry 5.0: User-engagement with industrial operators through co-creation workshops
AHFE International, Human Aspects of Advanced Manufacturing, Production Management and Process Control· 2024DOI
Vaishnavi Sashidharan, Iveta Eimontaite, Sarah Fletcher, Alejandro Arpa, Alessandro Mazzon, John Stavridis, Scott Tucker, Igal Israeli, Samuel Zerbib
Collision detection for collaborative assembly operations on high-payload robots
Robotics and Computer-Integrated Manufacturing· 2024DOI
Konstantinos Katsampiris-Salgado; Kevin Haninger; Christos Gkrizis; Nikos Dimitropoulos; Jörg Krüger; George Michalos; Sotiris Makris
Differentiable Compliant Contact Primitives for Estimation and Model Predictive Control
2024 IEEE International Conference on Robotics and Automation (ICRA)· 2024DOI
Haninger, Kevin; Samuel, Kangwagye; Rozzi, Filippo; Oh, Sehoon; Roveda, Loris
Industrial collaborative environments integrating AI, Big Data and Robotics for smart manufacturing
Procedia CIRP· 2024DOI
Nikos Dimitropoulos; George Michalos; Zoi Arkouli; George Kokotinis; Sotiris Makris
Praxis: a framework for AI-driven human action recognition in assembly
Journal of Intelligent Manufacturing· 2024DOI
Christos Gkournelos, Christos Konstantinou, Panagiotis Angelakis, Eleni Tzavara, Sotiris Makris
Seamless Human–Robot Collaboration in Industrial Applications
Lecture Notes in Mechanical Engineering, CIRP Novel Topics in Production Engineering: Volume 1· 2024DOI
Sotiris Makris, George Michalos, Nikos Dimitropoulos, Joerg Krueger, Kevin Haninger
Software Architecture and Human-Centric design methodology in Human-Robot collaborative production systems
AHFE International, Human Aspects of Advanced Manufacturing, Production Management and Process Control· 2024DOI
Spyros Koukas, Raimund Broechler, Kevin Haninger, Milan Gautam, Fernando Ubis, Urko Esnaola Campos, Iveta Eimontaite, Sarah Fletcher, Nikos Dimitropoulos, Sotiris Makris
Suitability assessment method for safe robot tooling design in Human-Robot Collaborative applications
Procedia CIRP· 2024DOI
Konstantinos Katsampiris-Salgado; Nikos Dimitropoulos; George Michalos; Sotiris Makris
Breaking the barriers: multilingual user engagement to increase process engagement and technology acceptance in manufacturing
AHFE International, Human Aspects of Advanced Manufacturing· 2023DOI
Iveta Eimontaite, Sarah Fletcher, Krystian Goławski, Tomasz Kołcon
Compliant finray-effect gripper for high-speed robotic assembly of electrical components
2023 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)· 2023DOI
Hartisch, Richard Matthias; Haninger, Kevin
Model predictive impedance control with Gaussian processes for human and environment interaction
Robotics and Autonomous Systems· 2023DOI
Kevin Haninger; Christian Hegeler; Luka Peternel
Operator Future Trajectory Prediction in Human-Robot Collaborative Environments Using Artificial Intelligence
SSRN Electronic Journal· 2023DOI
Konstantinos Salgado Katsampiris, Nikos Dimitropoulos, Christos Gkrizis, George Michalos, Sotiris Makris
Deliverables (3)
Other Results (1)
Periodic Reporting for period 2 - CONVERGING (Social industrial collaborative environments integrating AI, Big Data and Robotics for smart manufacturing)