Aleksandar Stefanov
Papers
1
Total Citations
4
H-Index
1
About
Aleksandar Stefanov is a researcher at the forefront of flexible manufacturing and robotic manipulation, with a focus on bridging the gap between perception and precision in industrial automation. His work centers on developing vision-based mobile robotic systems capable of performing complex assembly tasks—such as screwdriving—that have traditionally required expensive, rigid robotic cells. By integrating advanced perception algorithms with mobile manipulators, Stefanov addresses the critical challenge of enabling low-volume, high-mix production without sacrificing accuracy or reliability. His most-cited paper, "From perception to precision: Vision-based mobile robotic manipulation for assembly screwdriving" (2025, 4 citations), exemplifies his contribution to making automation scalable and cost-effective for small and medium-sized enterprises. Though early in its citation impact, this work has already garnered attention for its practical, industry-relevant approach. Stefanov’s research is pivotal in advancing the next generation of adaptive manufacturing systems, where robots not only see and move but also execute precision tasks with human-like dexterity. His achievements underscore a commitment to transforming rigid factory floors into agile, intelligent production environments.
Research Focus
Key Achievements
Top Papers
- 1