IRISH MANUFACTURING RESEARCH COMPANY LIMITED BY GUARANTEE

Cognitive robots are augmenting their autonomy, enabling them to deployments in increasingly open-ended environments. This offers enormous possibilities for improvements in human economy and wellbeing. However, it also poses strong risks that are difficult to assess and control by humans. The trend towards increased autonomy conveys augmented problems concerning reliability, resilience, and trust for autonomous robots in open worlds. The essence of the problem can be traced to robots suffering from a lack of understanding of what is going on and a lack of awareness of their role in it. This is a problem that artificial intelligence approaches based on machine learning are not addressing well. Autonomous robots do not fully understand their open environments, their complex missions, their intricate realizations, and the unexpected events that affect their performance. An improvement in the capability to understand of autonomous robots is needed. This project tries to provide a solution to this need in the form of 1) a theory of understanding, 2) a theory of awareness, 3) reusable software assets to apply these theories in real robots, and 4) three demonstrations of its capability to a) augment resilience of drone teams, b) augment flexibility of manufacturing robots, and c) augment human alignment of social robots. In summary, we will develop a cognitive architecture for autonomous robots based on a formal concept of understanding, supporting value-oriented situation understanding and self-awareness to improve robot flexibility, resilience and explainability.

EC contribution:

EUR 788k

Start:

2022-10-01

End:

2026-09-30

Status:

SIGNED

Scheme:

HORIZON-RIA

Call:

HORIZON-CL4-2021-DIGITAL-EMERGING-01

View on CORDIS (DOI 10.3030/101070254)

The project's main objective is to develop a highly innovative, secure-by-design framework that fully exploits the MaaS paradigm. This framework will offer secure data exchange between companies and cutting-edge tools to enhance production efficiency and sustainability. The MEDUSA framework will establish a seamless connection between existing marketplaces, facilitating optimized production by leveraging users' machinery and shared resources from other manufacturers. All resources will be treated as part of a distributed Cyber-Physical System of Systems (CPSoS), maximizing production. The implementation of an automation layer will enable the exchange of real-time production data and asset monitoring, allowing for the tracing and optimization of the product life cycle. The framework will also support the implementation of a DPP and provide AI-based tools for manufacturers to support decision-making for production planning, remanufacturing, and machine reconfiguration, always being energy-aware.

EC contribution:

EUR 467k

Start:

2024-10-01

End:

2028-03-31

Status:

SIGNED

Scheme:

HORIZON-RIA

Call:

HORIZON-CL4-2024-TWIN-TRANSITION-01

View on CORDIS (DOI 10.3030/101178045)