COGNITIUM

Project overview

COGNITIUM is an advanced research and innovation project aimed at developing a next-generation robotic system based on PAL Robotics’ TIAGo Pro platform. The project focuses on enabling autonomous operation in semi-structured, highly variable environments, progressing from Technology Readiness Level (TRL) 3–4 to TRL 5 with a functional demonstration in a relevant scenario. To validate the system, COGNITIUM targets the hospitality sector, specifically the preparation and cleaning of hotel rooms—an environment that combines dynamic conditions, diverse objects, and the need for safe, reliable, high-level autonomy. COGNITIUM will develop a hybrid cognitive architecture that integrates generative AI with symbolic planning, combines Vision-Language Models (VLMs) and Vision-Language-Action Models (VLAs) for contextual understanding, and enables adaptive physical responses through natural-language instructions. The project also aims to reduce dependence on external technologies by advancing interpretable, trustworthy, and adaptable robotic systems. Through strong collaboration between industry and Catalan research centres, COGNITIUM fosters regional technological transfer and strengthens local expertise in cognitive robotics and AI-enabled autonomy.

221415 k
project funding
2
partners involved
1
country involved
COGNITIUM

Our Role

PAL Robotics plays a leading role in the COGNITIUM project as the primary industrial partner, providing the TIAGo Pro robot as the core platform for research, integration, and validation. We drive the development of the hybrid cognitive architecture, combining generative AI with symbolic planning, and lead the integration of advanced Vision-Language and Vision-Language-Action models. PAL Robotics is responsible for enabling natural-language-driven task execution, robust autonomy, and adaptive behaviour in the hotel-room use case. Through close collaboration with research centres, we ensure that cutting-edge cognitive robotics research is translated into a reliable and interpretable real-world solution.

Key responsibilities

  • Providing the TIAGo Pro robotic platform and leading system integration efforts.
  • Co-developing the hybrid cognitive architecture combining generative AI and symbolic planning.
  • Integrating Vision-Language Models (VLMs) and Vision-Language-Action Models (VLAs) for contextual understanding and adaptive physical response.
  • Implementing natural-language instruction capabilities for robotic task execution in hotel-room environments.
  • Validating the full robotic system in a realistic hospitality setting to reach TRL 5.
  • Supporting technological transfer and strengthening collaboration between industry and research centres in Catalonia.

Partners

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