Krzysztof Okarma
West Pomeranian University of Technology, University of Szczecin
Papers
13
Total Citations
107
H-Index
6
About
Krzysztof Okarma is a researcher specializing in computer vision, image processing, and machine vision applications for robotics and automation. His work focuses on developing efficient, computationally lightweight algorithms suited for embedded systems and autonomous mobile robots — environments where processing power and memory are fundamentally constrained. Among his most significant contributions is his development of fast image binarization methods leveraging Monte Carlo approaches, enabling reliable visual decision-making even when complete image data cannot be fully processed — a practical breakthrough for real-time robot vision. His research on line tracking and navigation in dark environments has directly advanced mobile robot guidance systems, while his work on super-resolution algorithms has improved autonomous navigation capabilities. Beyond robotics, Okarma has made notable contributions to industrial automation, including camera calibration systems for CNC machine workpiece positioning and texture classification for autonomous cleaning robots. His 2020 edited work, *Applications of Computer Vision in Automation and Robotics*, reflects his broad influence across the field. With papers accumulating citations across topics ranging from image quality assessment to IoT-integrated electronic part classification, Okarma's research consistently bridges theoretical image analysis with tangible engineering applications, making his work particularly valuable for students and practitioners working at the intersection of computer vision and intelligent systems.
Research Focus
Key Achievements
Top Papers
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- 2A Fast Image Analysis Technique for the Line Tracking Robots18 citations · 2010
- 3Applications of Computer Vision in Automation and Robotics16 citations · 2020
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