The FELICE Project
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Funding Agency:
H2020 Program
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Domain:
Human Robot Collaboration
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Duration:
48 months
- Official Website
Project overview
- FELICE is a H2020 RIA project leaded by the Institute of Communication and Computer System (ICCS) of NTUA School (Greece) that involves several European partners including CAL-TEK (the spin off company from the MSC-LES lab at University of Calabria).
- FELICE unites multidisciplinary research in collaborative robotics, AI, computer vision, IoT, machine learning, data analytics, cyber-physical systems, process optimization, ergonomics, simulation and digital twin to deliver a modular platform that integrates and harmonizes an array of autonomous and cognitive technologies in order to increase the agility and productivity of a manual assembly production system, ensure the safety and improve the physical and mental well-being of factory workers.
- The FELICE framework comprises of two layers: (i) a local one introducing a single collaborative assembly robot that will roam the shop floor assisting workers. (ii) an adaptive workstations able to automatically adjust to the workers’ somatometries and providing multimodal informative guidance and notifications on assembly tasks, and a global layer which will sense and operate upon the real world via an actionable digital replica of the entire physical assembly line.
Project results
- For the Manual Mode, the FELICE system prototype includes an advanced robot platform and a dedicated Adaptive Workstations. The robotic platform is able to fully support operators working in assembly lines. Available functionalities include navigation, picking, handover, taking back and placing of objects, tools and components as well as mirroring of the activities in a Digital Twin. The FELICE adaptive workstation can be regarded as an advanced solution for improving ergonomics and safety of assembly line workers.
- For the Automatic Mode, the FELICE system prototype provides a synthetic simulation environment where the entire FELICE system can be tested with the aim of understanding its impact on the assembly line operational efficiency.
FELICE Consortium
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ICCS, Greece
Project Coordinator
Institute of Communication and Computer Systemis, affiliated with the National Technical University of Athens, coordinates the project and lead WP4 on perception mechanisms.
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Project coordination and Management
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Human Behaviour Understanding
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Object Detection and Localization
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FHOOE, Austria
Project Partner
The University of Applied Sciences Upper Austria, Hagenberge Campus, leads the work package WP7 “AI for predictive models of human behavior and production evolution”
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System Orchestrator Implementation
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Artificial Intelligence and Optimization
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Predictive Models of Human Behvaiour
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Forth, Greece
Project Partner
FORTH is public research center that participates with the CVRL and the DiSCS Labs both part of FORTH’s Institute of Computer Science, providing the following competences.
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Security & Privacy enabling mechanisms
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Advanced scene perception capabilities
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Cognition for Human-robot collaboration
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CRF, Italy
Project Partner
CRF participates in the FELICE project as the end-user in manufacturing industry and as expert for carrying out system prototypes evaluation in manual assembly lines.
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End-user and industry domain expert
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System prototypes evaluation
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Future exploitation of FELICE assets
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IFADO, Germany
Project Partner
IfADo has many years of research experience in the field of cognitive ergonomics, and more specifically in the design of cognitive and decision aiding systems
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FELICE framework formalization
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Final use cases definition
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Pilot evaluation strategy
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AEGIS, Germany
Project Partner
AEGIS’ main areas of expertise includes adaptive Big Data visualization systems, Geographical Information Systems and secure and innovative embedded platforms.
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System baseline technologies
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System architecture and IoT
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Overall integration strategy
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CAL-TEK SRL, Italy
Project Partner
CAL-TEK participates in the FELICE project as WP6 “Data driven digital twin of production process” and of task T8.3 “System integration and deployment” leader.
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Simulation based Digital Twin
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System integration and deployment
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Experimentation and evaluation
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TUD,Germany
Project Partner
The Technical University Darmstadt as part of the FELICE project provides competences on work assessment and design, man-machine interfaces, human & organization.
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Dissemination and exploitation
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Adaptive workstation for manual assembly
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Long-term sustainability
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UNISA, Italy
Project Partner
The University of Salento contributes to different WPs including WP3, WP4, and WP5 that are concerned with the analysis and development of state of the art solutions for speech and gesture recognition.
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Speech recognition baseline and tools
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Speech and gesture analysis
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Natural language processing
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IML, Germany
Project Partner
The Fraunhofer Institute for Material Flow and Logistics (IML) focuses on using AI on resource-restricted systems for path planning, object classification and semantic mapping also adjusting to individual needs.
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Error detection and resilient assembly line
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Liasing with Digital Innovation Hubs
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AI for predictive models of human behavio
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ACCREA, Poland
Project Partner
ACCREA carries out all hardware related R&D tasks T5.1. Using the design, prototyping and production facilities, ACCREA provides the robot prototype to the Consortium assuring its functionality over the time.
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Robot design and prototype
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Robot low-levels controls
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Robot maintenance and availability
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PRO, Austria
Project Partner
PROFACTOR focus is on robotics, machine vision, functional surface and nanostructures with extensive experience in human robot interactive technologies and architecture design.
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Error detection and resilient assembly line
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Liasing with Digital Innovation Hubs
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AI for predictive models of human behavior
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EUNOMIA, Ireland
Project Partner
EUNOMIA is a consultancy firm, located in Cork (Ireland), specialised in the provision of business and legal consultancy services information technology (IT), including, privacy & data.
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Error detection and resilient assembly line
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Liasing with Digital Innovation Hubs
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AI for predictive models of human behavio
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We always want to connect with other Research Institutions and Companies
Research must always be a beneficial extended as much as possible and we look forward to partnering with other Universities and Companies to achieve new goals.
- Website: www.msc-les.org
- Email: info@msc-les.org
- Phone: +39 0984 494891