Stefano Borgia
Papers
2
Total Citations
41
H-Index
2
About
Stefano Borgia is a researcher dedicated to advancing sustainable manufacturing through the optimization of robotic motion planning. His primary research focuses on minimizing energy consumption in industrial automation, a critical area for reducing the environmental footprint of production processes. Borgia’s most impactful work, “Minimization of the Energy Consumption in Motion Planning for Single-robot Tasks” (2015, 38 citations), breaks from traditional approaches that only consider the energy used during direct manufacturing. Instead, he pioneers methods to optimize the energy expended by the robots themselves during their movements, offering a more holistic path to efficiency. Complementing this, his work on “Fast Experimental Energy Characterization of a Controlled Rotary Axis” (2016) provides practical, rapid methodologies for measuring and modeling the energy profile of industrial machine components. This dual focus—on both theoretical planning and experimental validation—positions Borgia as a key contributor to the growing field of eco-friendly robotics, helping to make industrial automation not only more productive but also more sustainable.
Research Focus
Key Achievements
Top Papers
- 1
- 2Fast Experimental Energy Characterization of a Controlled Rotary Axis3 citations · 2016