This research targets energy efficiency in industrial environments by implementing the Machine Energy Monitoring (MEM) approach. The project focuses on tracking energy usage in industrial plants, particularly in robotics, to improve operational efficiency, reduce costs, and lessen environmental impact.

Robotics plays a pivotal role in production processes across all sectors. Detailed energy data analysis, real-time monitoring, and the application of advanced technologies are key components of this initiative. The study will deepen understanding of how MEM can be a catalyst for sustainable and efficient industrial production, also from a machine maintenance perspective. Since energy consumption is a fundamental metric for determining maintenance cycles, it can help maximize component usage and reduce the need for replacements.

While the project's core use case is the energy monitoring and optimization of a robotic arm, particular emphasis is placed on creating an architecture that can accommodate different types of machinery in the future. To ensure the tool is user-friendly and sustainable, significant effort will go into integrating the developed technologies into the robot’s centralized processing unit.