Weiwei Ge
Papers
1
Total Citations
32
H-Index
1
About
Weiwei Ge is a leading researcher in sustainable manufacturing and intelligent robotic systems, with a focus on energy-efficient production technologies. Their most cited work, "Structural decomposition-based energy consumption modeling of robot laser processing systems and energy-efficient analysis" (2022, 32 citations), introduces a novel framework for modeling and optimizing energy use in robotic laser processing—a critical step toward greener industrial automation. Ge’s contributions lie in bridging advanced robotics with energy analytics, enabling precise decomposition of energy flows in complex manufacturing processes. This work has been recognized for its practical implications in reducing carbon footprints while maintaining production efficiency. Beyond this flagship paper, Ge’s research spans multi-objective optimization, process modeling, and the integration of cyber-physical systems in manufacturing. Their impact is evident in the growing adoption of their energy modeling techniques by both academia and industry, positioning them as a key voice in the transition to sustainable smart factories.
Research Focus
Key Achievements
Top Papers
- 1