CORESENSE is a Horizon Europe funded project that aims to develop a theory and a derived cognitive architecture for understanding in autonomous robots. The project will provide a solution to the challenges of reliability, resilience, and trust in autonomous robots by creating a theory of understanding and awareness and reusable software assets. The project will demonstrate its capability in augmenting the resilience of drone teams, the flexibility of manufacturing robots, and the human alignment of social robots.

The goal is to improve the capability of autonomous robots to understand their open environments and complex missions, leading to improved flexibility, resilience, and explainability.

CORESENSE Consortium

CoreSense Consortium

The CORESENSE project is a collaboration between leading research institutions and companies from across Europe. Our partners include the Universidad Politécnica de Madrid (Spain), Technische Universiteit Delft (Netherlands), Fraunhofer IPA (Germany), Universidad Rey Juan Carlos (Spain), PAL Robotics (Spain), and Irish Manufacturing Research (Ireland). Each partner brings a unique set of expertise and experience to the project, ensuring a multidisciplinary approach to the development of the cognitive architecture for autonomous robots. With a strong and diverse team of partners, Coresense is poised to make significant advancements in the field of autonomous robotics.

CORESENSE Objectives?

CoreSense project aims to develop a theory of understanding and awareness for autonomous robots, which will be implemented as a reference architecture and engineering toolbox. This theory and technology will be used in building autonomous robots with increased capabilities to work without/with limited supervision and improved intuitive, safe and efficient cognitive, social, and physical capabilities. The project also aims to create an open-source community in the ROS ecosystem around the software developed in the project. The core of the project is the development of a hybrid cognitive architecture that uses knowledge as the core substrate for its operation and is self-aware, trustworthy, model-centric and value-oriented.

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And that’s a wrap!👏

The last 3 days have been a blast as the #CORESENSE consortium partners met at the first Project Meeting in Delft.

Thanks to @TUDelftDRI for hosting and to everyone for making it a successful experience. 🙌

#CORESENSEProject #AI #robotics https://t.co/vX81n4HDCQ
📢 This afternoon #CORESENSEProject joined forces with @MetaTool_EU in a Mini Workshop on #RobotConsciousness🤖

Our coordinator @rsanz_aslab was one of the keynote speakers sharing his insights and actively leading the discussion 👏

#HorizonEurope, #AI, #robotics https://t.co/7EehkCCWUT
The second day of our Plenary Meeting was as productive as it was stimulating for our #CORESESE team!
👉We presented the 3 testbeds
👉We engaged in a heated discussion on #RobotUnderstanding
👉We visited SAM XL and got to see the robots in action

What's for today? Stay tuned! https://t.co/8iYmJ3anzW
CORESENSE is a Horizon Europe funded project that aims to develop a cognitive architecture for autonomous robots.
#ai #robots #ros #robotics #socialrobots #cognitiveunderstanding #ArtificialIntelligence
  • CORESENSE: Joint Mini Workshop on Robot Consciousness
    On the 19th of April 2023 CORESENSE will join forces with one of our sister projects- METATOOL in a Joint Mini Workshop on Robot Consciousness. The CORESENSE project investigates the generation of meaning from external and internal perception of autonomous robots. The METATOOL project investigates the potential of metacognition in the bodily extension of robots by using tools…
  • CORESENSE Consortium Meet for the first time
    The Universidad Politecnica de Madrid (UPM) hosted the kickoff event for the CORESENSE project on October 5th and 6th, 2022. CORESENSE, a €4.9 Million Horizon Europe Project, is a consortium of leading research institutions and industry partners that aims to develop a cognitive architecture for autonomous robots. The agenda for the two-day event covered the…
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