What is CORESENSE?
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
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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This paper introduces a novel human-robot collaboration system developed by IMR as part of its Assembly Cell Station in WP6. It ensures safety and ergonomics while improving performance and agility in shared workspaces. https://coresense.eu/collaborating-for-success-optimizing-system-efficiency-and-resilience-under-agile-industrial-settings/
#Coresense #HorizonEurope #Robots
At @IMR_ie Mullingar facility, mobile robot @KUKAGlobal KMR performs the unloading of manufactured parts from the production area upon an on-demand call and transports them to the inspection station for quality control. https://coresense.eu/progress-in-work-package-6-testbeds-manufacturing-robots/
#HorizonEurope #CORESENSE #robots
- Benchmarking Sim2Real Gap: High-fidelity Digital Twinning of Agile Manufacturing
Recently, the book chapter Benchmarking Sim2Real Gap: High-fidelity Digital Twinning of Agile Manufacturing has been accepted for publication by CRC Press, Taylor & Francis Group. It explores the technologies driving the development of digital twins for agile manufacturing in robotic automation, as researched by IMR Ltd, Ireland. This chapter emphasizes the transfer of trained policies… - Collaborating for Success: Optimizing System Efficiency and Resilience Under Agile Industrial SettingsThe following research, for which our colleague Sunny is the corresponding author, is supported by EU funded ACROBA and CORESENSE projects. This paper introduces a novel human-robot collaboration system developed by IMR as part of its Assembly Cell Station within WP6. The system incorporates two strategically placed laser scanners, which not only divide the workspace…
