The AI-PRISM consortium has the expertise to improve the EU Smart manufacturing value chain in four domains: collaborative environment, robot perception and recognition, robot programming, and human factors. We aim to balance the complementary and overlapping efforts of our industrial partners.
Our innovations will be tested in five use cases of the manufacturing industry, including furniture, electronics, home appliances, foods and beverages, and discrete manufacturing. To effectively implement these real-world projects, Austrian partner PROFACTOR GMBH (PROF) is contributing to our work package on industrial scenarios and requirements analysis as well as the discrete manufacturing use case as a research partner.
Founded in 1995, PROF is an applied research company that conducts applied production research in the field of industrial assistive systems and additive micro/nano manufacturing. Based in Vienna, they act as an interface between science and business. With more than 1,700 projects, the company has demonstrated what can be created with applied production research: Innovation. At AI-PRISM, they are our key partner in elaborating on the industrial requirements and analysing the KPIs established by partner WINGS into functional or non-functional requirements.
Today the PROF team is sharing a video demonstrating how they enable a step ahead and work to ensure Europe’s continued industrial prosperity. From small businesses to enterprises, more than 400 trust them to promote the modernization of production technologies. For that reason, at AI-PRISM they are also working on the discrete manufacturing use case. KEBA’s initial AI-based Automation Control System prototype will be enhanced to enable users’ natural interaction with robots, including training and execution phases of human-robot collaboration.
Their work spans across various disciplines to provide solutions for the manufacturing industry. They set standards in robotics, image processing, simulation, functional surfaces, and nanostructures. Their contribution is crucial in defining the architecture of AI-PRISM and ensuring the integration of selected technologies and existing components for the different pilots.
In the discrete manufacturing use case, they will implement the robotic-process training and execution cycle when introducing a new product variant. AI-PRISM modules will be placed on the AI-Control of KEBA to work with minimal end-user training most naturally. Ultimately, their contribution will help improve the usability of human-robot collaboration through multi modes of communication and decrease mental load during operations and training.
Do you want to learn more about AI-PRISM and the team behind the project? Subscribe to our newsletter and follow us on LinkedIn and Twitter, so you don’t miss a thing!