Domagoj Frank
Papers
1
Total Citations
2
H-Index
1
About
Domagoj Frank is a researcher whose work sits at the intersection of robotics, energy efficiency, and computational intelligence. His primary research focus is on developing advanced optimization algorithms—particularly memetic and genetic algorithms—to minimize energy consumption in industrial robotic operations. His most cited paper, "Memetic Algorithm for Energy Optimization in Point-to-Point Robotized Operations" (2025, 2 citations), introduces a novel two-stage approach that combines a random recombination genetic algorithm with a local search guided by feature importance analysis. This work directly addresses the growing need for sustainable manufacturing by enabling more energy-efficient robot path planning without sacrificing performance. While his citation count is still emerging, Frank’s contribution lies in bridging the gap between data-driven feature selection and evolutionary optimization—a promising direction for real-world industrial applications. His research is particularly notable for its practical orientation, offering a scalable solution that can be integrated into existing robotic systems. As the field of green robotics expands, Frank’s work stands out for its methodological rigor and clear potential to reduce the carbon footprint of automated production lines.
Research Focus
Key Achievements
Top Papers
- 1