Socially-Acceptable and Trustworthy Human-Robot Teaming for Agile Industries

Digital, Industry & SpaceHORIZON-IAID: 101120990
EC Contribution
โ‚ฌ80,395
Consortium Size
20 orgs
Start Year
2023
โ–ถSummary

Manufacturing, construction, and agriculture are major driving forces for the European economy and prosperity. Maintaining its competitiveness in these sectors demands highly efficient and flexible processes, and this can be achieved through digitization. Novel intelligent robotic capabilities that can be deployed side-by-side with humans and can operate and adapt to dynamic environments can accelerate this process. However, existing robotic systems cannot fit well into such settings as they are not versatile and flexible enough to automate certain tasks, cannot collaborate safely with humans in open and dynamic environments, nor are they easily and economically adaptable to process changes. The SOPRANO project coalesces multidisciplinary research and innovation in human-robot collaboration and intelligent multi-agent systems, aspiring to design the next generation of manufacturing floors, construction sites, and agri-food production, where humans and intelligent machines will seamlessly work together. It proposes to scale collaboration from the single human-agent dyad to a peer-based synergy between multiple interconnected robotic systems featuring different physical and cognitive properties, supporting various tasks in collaboration with human workers, robotics and other agents. SOPRANO will validate the technological offering in three novel and open-access use cases addressing both large-scale industries and small to medium enterprises, adding value to EU key sectors and instrumenting community building surrounding the open-source technologies in the EU industrial ecosystem. During the project, we will also enable external SMEs and start-ups to benefit from the project technologies via an open call, which will enable the building of demonstrators using SOPRANO technologies that will open new market opportunities for their products and services.

Consortium (20)

Project Results (6)

Source: CORDIS, the EU research results database.

โ–ถPublications (5)
3D EDGE DETECTION BASED ON NORMAL VECTORS
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-2-W4-2024, Pp 295-300 (2024)ยท 2024DOI
A. Makka; M. Pateraki; M. Pateraki; T. Betsas; A. Georgopoulos
An Efficient Storage Solution for Cloud/Edge Computing Infrastructures : (Invited Paper)
2024 IEEE International Conference on Service-Oriented System Engineering (SOSE)ยท 2024DOI
Antonios Makris, Ioannis Korontanis, Evangelos Psomakelis, Konstantinos Tserpes
Composable and executable scenarios for simulation-based testing of mobile robots
Frontiers in Robotics and AIยท 2024DOI
Argentina Ortega, Samuel Parra, Sven Schneider, Nico Hochgeschwender
StreamK3s: A K3s-Based Data Stream Processing Platform for Simplifying Pipeline Creation, Deployment, and Scaling
Crossrefยท 2024DOI
Korontanis, Ioannis; Makris, Antonios; Kontogiannis, Alexandros; Varlamis, Iraklis; Tserpes, Konstantinos
Defining operational design domain for autonomous systems: A domain-agnostic and risk-based approach
Adedjouma, Morayo and Botella, Bernard and Ibanez-Guzman, Javier and Mantissa, Kevin and Proum, Chauk-Mean and Smaoui, Asma
โ–ถDeliverables (1)
Websites, patent fillings, videos etc.