Jakub Korta
Papers
1
Total Citations
7
H-Index
1
About
Jakub Korta is a researcher specializing in industrial robotics, computer vision, and automated assembly systems. His work focuses on integrating vision-based technologies to enhance precision and efficiency in manufacturing environments. His most-cited paper, "OpenCV based vision system for industrial robot-based assembly station: calibration and testing" (2014), has garnered 7 citations, demonstrating its foundational role in practical robotics applications. This study presents a robust calibration and testing methodology for vision-guided robotic stations, contributing to the advancement of flexible automation. Korta’s contributions are particularly valuable for bridging the gap between open-source computer vision tools (like OpenCV) and industrial robotic control, enabling cost-effective and adaptable assembly solutions. His research impacts both academic understanding and real-world industrial practices, offering a blueprint for integrating vision systems into production lines. While his citation count reflects a focused but emerging impact, his work is a key resource for engineers and researchers developing intelligent, vision-driven robotic systems in manufacturing.
Research Focus
Key Achievements
Top Papers
- 1