The CORESENSE Project
CoreSense: A Hybrid Cognitive Architecture for Deep Understanding
While being an independent, European multipartner project, this project continues the long-term research line on Autonomous Systems (ASys) of the Autonomous Systems Laboratory. The UPM CoreSense team includes also researchers from other UPM research groups on aerial inspection and electronics.
The project will start on October 1, 2022 and will be alive for four years. It is funded by the EU Horizon Europe programme.
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 well-being. 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:
- a theory of understanding,
- a theory of awareness,
- reusable software assets to apply these theories in real robots, and
- 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.
The consortium is composed of six partners from four EU countries:
Universidad Politécnica de Madrid – ES – Coordinator
Delft University of Technology – NL
Fraunhofer IPA – DE
Universidad Rey Juan Carlos – ES
PAL Robotics – ES
Irish Manufacturing Research – IR
Project Manager: Ricardo Sanz.
Get more information about the project in this document.
