The AI-PRISM consortium holds the necessary expertise to strategically improve the EU Smart manufacturing value chain in four domains: collaborative environment, robot perception and recognition, robot programming and human factors. We are working to achieve a suitable trade-off between complementary and overlapping among the industrial partners.
We have allocated a work package to our project’s architecture to establish our technical approach. As part of the technical specifications required for human-robot collaboration, we have partnered with the Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements (PIAP). They will work on enhancing our robotic agents’ perception and reasoning capabilities through AI-based modules, specifically focusing on continuous integration and validation establishment. Additionally, they will lead the deliverable AI-PRISM Human-Robot Cooperation Ambient.
PIAP was founded in 1965 as a national institute that specializes in developing and implementing new technologies, automation systems, and specialist instrumentation for various industries. Their technical experience in manufacturing is crucial for AI-PRISM’s definition of concrete interfaces between our components and package formats for workload distribution, communication protocols, message formats for data transit and services, and schemas for data at rest. They will also define methods, parameters, return values, and error handling for each component and interface.
Today, our partner shares a video showcasing their design quality in technologies, which is well-regarded by customers and the scientific community. PIAP strongly supports the transfer of technologies from the automation and robotics sector and is working on developing our human-robot ecosystem and AI-PRISM demonstrators in the electronics manufacturing industry in Vigo, Poland, as tech providers and integrators.
During the AI-PRISM demonstrator’s development phase, use case VIGO Photonics will generate quality requirements for the glued joint, to which PIAP will provide a technical solution. Their goal in the pilot and project is to provide the tooling and infrastructure required to manage AI-based solutions along their lifecycle, including design, development, discovery, deployment, training, validation, use, monitoring, and improvement.
PIAP’s extensive legacy and experience provide an excellent basis for undertaking new challenges in specialized technologies. They will speed up the development and implementation of common functions through integration layers and develop CI/CD pipelines to facilitate the integration and validation of our innovations. Moreover, they will strive to bring AI-PRISM technologies and key implementations to the manufacturing industry, where they have had close cooperation for nearly 50 years.
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