Robotic Process Automation, Cyber-Physical Systems (CPS), Machine Learning and Deep Learning for Quality Control, Diagnosis and Predictive Maintenance, Digital Twin, Industrial Internet of Things (IIoT)
Advanced automation solutions for smart manufacturing involve several research topics, including: sensor less edge device for diagnosis and predictive maintenance of machine driven by electric motors (current signal-based approach); metrics (KPIs) and methods to evaluate efficiency of the workers along with machinery; prediction of energy consumption from production planning and detect both energy and production anomalies; food and beverage packaging industry solution for performing weight measurements with high processing speed and high accuracy (50% faster) and for performing transport of fine, granular and non-grain materials in the shortest time (50% faster); Digital eco-design for fashion, textiles and apparel industry by integrating digital technologies across the full product life cycle; solution and methods to facilitate Disassembly for Recycling.
