Kamil Skop

AGH University of Krakow, Jagiellonian University

Papers

Total Citations

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About

Kamil Skop is a researcher specializing in robotics, automation, and computer vision, with a particular focus on collaborative robots (cobots) in industrial quality control. His major contributions center on the development of integrated vision systems for robotic stations, where he has designed hardware-software architectures that enable cobots like the UR5 to perform precise inspection tasks. His most cited work, "Vision Systems for a UR5 Cobot on a Quality Control Robotic Station," published in 2024, has accumulated 5 and 4 citations across two versions, demonstrating immediate impact in the field. In this work, Skop delineates a dual-camera setup—combining a web camera mounted on the cobot with a stationary industrial camera—to create a robust, real-time quality control system. His research addresses critical challenges in industrial automation, such as improving detection accuracy and operational efficiency. Skop’s work is notable for its practical, applied approach, offering a blueprint for deploying cost-effective vision-guided cobots in manufacturing environments. His contributions are particularly relevant for students and researchers interested in the intersection of robotics, machine vision, and Industry 4.0, providing a foundation for further innovation in autonomous inspection systems.