Project overview

Addressing the challenge of understanding autonomous robots in open environments, the CoreSense project aims to develop a cognitive architecture based on a formal concept of understanding. The project focuses on providing a theory of understanding and awareness, along with reusable software assets, to enhance robot flexibility, resilience, and explicability. The project targets improved capability in comprehending complex missions and unexpected events affecting robot performance.

5.4 M
project funding
partners involved
countries involved

Our Role

PAL Robotics uses their mobile manipulator, TIAGo, to test new technologies that help robots understand and adapt to their surroundings better. TIAGo is used in home settings where it interacts with people and the environment, showing how these technologies can improve robot responses in real-life scenarios.

Key responsibilities

  • Participating in the social interaction testbed.
  • Demonstrating enhanced performance of TIAGo, our social robot, in domestic tasks.
  • Contributing to the development of a cognitive architecture for autonomous robots.
  • Collaborating in providing a theory of understanding and awareness for improved robot flexibility and resilience