JARVIS aims to develop a reusable set of tools that enable AI driven multimodal means of advanced human-robot interaction that: a) involving interfaces for physical and remote information exchange, robot control and programming, b) providing social skills to a variety of robots to achieve seamless user-centric interaction that extends human ability for complex tasks, and c) demonstrating scalability of application and ability to achieve economies at scale.
  • Dates1 January 2024 to 31 December 2027
  • SponsorEuropean Union
  • Funded€10,338,223.75 (£9 million)
  • PartnersUniversity of Patras – Laboratory for Manufacturing Systems and Automation (Greece), Foundacion Tecnalia Research & Innovation (Spain), Collins Aerospace (Ireland), Commissariat A L’energie Atomique Et Aux Energies Alternatives (France), Tampere University (Finland), KUKA Deutschland Gmbh (Germany), Netcompany-Intrasoft (Luxembourg), ÌúÅ£ÊÓƵ University (UK), SINTEF AS (Norway), Tofas Turk Otomobil Fabrikasi Anonim Sirketi (Turkey), Electricite De France (France), F6S Network Ireland Limited (Ireland), European Association of Manufacturing Technologies (Belgium), Teaching Factory Competence Center (Greece), Statoil Petroleum – Equinor Energy AS (Norway)

The Industrial Psychology and Human Factors (IPHF) Group from ÌúÅ£ÊÓƵ University is working with 15 academic and industrial partners from across Europe to boost extensive expertise in both research and industrial applications. The multidisciplinary consortium works together to develop and integrate AI-driven human-robot interaction technologies for safe, intuitive, and productive collaboration between humans and robots to enhance the working conditions and ensure operators’ safety and well-being. These advanced technical solutions will be demonstrated and validated in use cases across different sectors, including passenger aircraft seat production, hybrid-car battery pack assembly, nuclear plant decommissioning, and offshore energy production. The IPHF group is developing and applying systematic methodologies to explore the iterative process of design, assessment, and deployment of acceptable and trustworthy robotic systems in a human-centred manner. Also, the IPHF group will ensure the ethics compliance of data usage and management during the human-robot interaction process, as well as identify the discrepancy and gap between current regulations and practical applications of human-robot interaction.

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