Jakub Haladus

Papers

Total Citations

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About

Jakub Haladus is a researcher focused on industrial automation and robotic process optimization, with a particular emphasis on simulation-driven improvements in manufacturing. His most cited work, "Simulation Case Study for Improving Painting Tires Process Using the Fanuc Roboguide Software" (2023), has garnered 6 citations, demonstrating early impact in the field. In this study, Haladus leverages Fanuc’s Roboguide software to model and enhance the efficiency of tire painting—a critical step in automotive production. By simulating robotic workflows, he identifies bottlenecks and proposes adjustments that reduce cycle times and material waste, offering cost-effective solutions for real-world factories. This contribution bridges the gap between virtual prototyping and practical deployment, making his research valuable for engineers seeking to optimize repetitive tasks. Haladus’s work underscores the growing role of digital twins in manufacturing, and his case study serves as a template for similar process improvements. As an emerging voice in robotics and simulation, he continues to explore how software-driven analysis can streamline industrial operations, with potential applications extending beyond tires to broader assembly and finishing processes.