Petra Kalvodova

Brno University of Technology, Central European Institute of Technology

Papers

Total Citations

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About

Petra Kalvodova is a researcher at Brno University of Technology whose work lies at the intersection of advanced manufacturing and intelligent robotic systems. Her primary research areas include Industry 4.0 testbed development and multispectral data fusion for robotics, where she focuses on enhancing the accuracy and reliability of sensor integration in automated environments. Notably, her 2019 paper on the "Industry 4.0 Testbed at Brno University of Technology" (4 citations) provides a foundational framework for implementing cyber-physical systems in educational and industrial settings, serving as a practical blueprint for smart factory experimentation. Her 2018 study on "Accuracy Evaluation Method of Multispectral Data Fusion for Robotic Systems" (2 citations) addresses critical challenges in robotic perception, offering methods to improve data fusion precision. While her citation counts are modest, Kalvodova’s contributions are significant for their applied focus, bridging theoretical concepts with real-world testbed implementations. Her work supports the growing need for robust, scalable Industry 4.0 solutions, making her a valuable contributor to the advancement of intelligent manufacturing and robotic systems in Central Europe.