Exploring the frontiers of sustainable technology and intelligent systems
Designing intelligent robotic systems for automated recycling, disassembly, and maintenance to extend product lifecycles and support circularity.
Applying large language models and predictive analytics to optimize circular economy processes and decision-making.
Integrating AI and DLT to create sustainable lifecycle management systems for industrial robots and electric vehicles.
Developing data-driven insights for sustainable manufacturing and end-of-life product management.
Creating AI-driven frameworks for computer-aided design, assembly, and disassembly optimization.
Ongoing research initiatives
Marie Curie Innovative Training Network focusing on intelligent circular lifecycles of industrial robots, outdoor power products, and electric vehicles.
Learn More - icircular3.euDeveloping decentralized applications using IOTA Tangle for transparent and automated circular processes.