Networks and sister projects
FLUENTLY integrates AI with human interaction to streamline operations and reduce demands on operators, improving efficiency and safety. It introduces:
A smart interface for controlling robots with speech and gestures, adapting their behaviour in real time.
A robo-gym for training humans and robots to collaborate more effectively.
DigiPro Centre is a Norwegian national centre for digitalising the process industry. Members include industry, technology providers, R&D institutes, universities, and clusters. New members involved in the process industry value chain are welcome to apply.
The Centre aims to promote sustainable digital solutions and skills in Norway’s process industry, ensuring all members have a voice and influence.
Standards bridge the gap between research and market adoption and increase the likelihood of technological innovations reaching the market. Standardisation plays a key role in research and innovation (R&I) strategies by supporting the large-scale deployment of new technologies.
STAND4EU will provide a range of information, services and networks related to standardisation in R&I. Users can access the platform to share and find information on challenges in the standardisation process, solutions and best practices for maximising the impact of innovative projects.
AI-PRISM will provide an ecosystem of collaboration and cooperation between Humans and Robots in manufacturing work
environments where tasks are difficult to automate and speed and versatility are essential.
By means of Human-centred and Artificial Intelligence-based solutions, we aim at supporting a change of paradigm where AI, robotics and Social Sciences and Humanities are integrated to improve production processes of our SMEs.
The EU-funded CONVERGING project brings together 16 high-profile partners from several EU and Asian countries aiming to develop, deploy, validate and promote smart and reconfigurable production systems including multiple autonomous agents (collaborative robots, AGVs, humans) that are able to act in diverse production environments.
FELICE unites multidisciplinary research in collaborative robotics, AI, computer vision, IoT, machine learning, data analytics, cyber-physical systems, process optimisation and ergonomics to deliver a modular platform that integrates and harmonises an array of autonomous and cognitive technologies in order to increase the agility and productivity of a manual assembly production system, ensure the safety and improve the physical and mental well-being of factory workers.
The SOPRANO project focuses on innovation in human-robot collaboration and intelligent multi-agent systems to enable the design of next generation manufacturing floors, automated construction sites, and smart agri-food production where humans and intelligent machines seamlessly work together.