This thesis explores the potentialities deriving from the integration of Digital Twin (DT) technology with collaborative robots (cobots) in manufacturing framework, focusing on the energy consumption optimization, improving operational efficiency and economic profitability. Digital Twin, the virtual representation of physical systems made possible by a continuous exchange of data, allows for real-time data monitoring and collateral adjustment based on a continuous performance evaluation, facilitating the dynamic adaptation of cobots based on real-world conditions. This approach is helpful for manufacturers who increasingly aim to balance productivity with sustainability goals. The study comes from the recent evolution and implementation of the Digital Twin technology in the manufacturing field.