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.
Our primary objective is to not only develop the human-robot ecosystem but also to go beyond the project’s experimental findings and reach out to the research community and related scientific domains. The Polytechnical University of Valencia (UPV), our Spanish partner, is leading the technical team. Their expertise will help us develop the AI-PRISM architecture, AI-enhancing tools, and a system that allows collaborative robots to learn from humans and perform different tasks, such as painting or sanding, in the furniture manufacturing sector demonstrator with industrial partner Andreus World.
UPV is a well-known university contributing to the innovation of companies and other entities in our society. It achieves this by training people with an innovative and entrepreneurial approach in its teaching centres. And it does so by transferring knowledge from its research units. At AI-PRISM, Automatics and Industrial Informatics Research Institute – ai2 (ai2 Institute) and the Research Centre on Production Management and Engineering (CIGIP) contribute to our technical research and developments.
AI-PRISM is one of many research projects leveraging the synergies of ai2 and CIGIP. The collaboration between both research groups creates a dynamic environment for research and innovation, where expertise in production management, supply chain optimization, and process automation converge. The interdisciplinary nature of their work allows for a comprehensive approach to addressing industrial challenges, bridging the gap between theoretical advancements and practical implementations. Together, CIGIP and AI2 foster a robust ecosystem that drives technological advancements, promotes knowledge exchange, and contributes to the development of cutting-edge solutions for the industry.
Today the UPV team is sharing a video explaining how they work on industrial processes and smart factories, developing comprehensive automation and control solutions that are both innovative and scientific. In addition to coordinating, managing, and monitoring the technical tasks of the project, their knowledge is needed at AI-PRISM for functions to enhance the ambient level reasoning, acting and control as well as the consolidation of the project’s architecture based on related smart manufacturing architectures.
UPV has already worked on the AI-PRISM architecture, including usage models and functional and technical specifications, and is working on AI-enhancing tools regarding reasoning, acting, and control. They are focusing on coordinating different agents and ensuring smooth control of operations in a dynamic manufacturing environment. Challenges addressed by UPV include path planning for mobile robots, task planning, and optimal task assignment for human and robotic agents.
Furthermore, UPV is working on AI-enhancing tools regarding reasoning, acting and control. At the AI-PRISM collaborative ambient level, the focus is to coordinate different agents, ensuring a smooth control of operations in a dynamic manufacturing environment. Challenges addressed by UPV include path planning for mobile robots and task planning and optimal task assignment for human and robotic agents. By using model-driven methods based on industrial process models and the capabilities of agents for rapid response reprogramming, where events related to human-robot collaboration and different elements of manufacturing will be coordinated, we will allow production replanification and product specifications changes, including batches, materials, and robot-human tasks rescheduling.
Environment-reactive methods are developed for smooth control of collaborative tasks without complex reprogramming or reunification for large and complex scenarios. Also addressed is operations execution control, ensuring that the target objectives are met through centralised coordination mechanisms using iterative control methods or hybrid coordination mechanisms, which combine centralised and distributed (agent level) control mechanisms.
UPV is also the research partner and technology provider with the Institute of Informatics and Technology (ITI) in the furniture manufacturing industrial case. Their objective is to introduce a system that allows the collaborative robot to learn from humans and perform different tasks of a more repetitive nature, such as painting or sanding, so that human operators can focus on tasks that provide more significant added value to the company. AI-PRISM estimates this will increase process productivity by 20% and halve manufacturing defects.
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