Monika Rybczak

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About

Monika Rybczak is a researcher at the forefront of intelligent robotics and applied artificial intelligence. Her primary research areas center on machine learning for autonomous systems, particularly mobile robot control and the integration of AI with industrial automation. In her most-cited work, a comprehensive 2024 survey (42 citations), she systematically evaluates machine learning approaches for mobile robot control, bridging the gap between big data analytics and real-time robotic decision-making. This contribution provides a critical roadmap for researchers seeking to deploy ML algorithms in dynamic, unstructured environments. Rybczak also demonstrates practical innovation in her 2022 study on applied AI with PLC and IRB1200 systems (6 citations), where she validates two convolutional neural network models—including a MobileNet-based architecture—for real-time image classification in industrial settings. Her work uniquely connects theoretical AI advances to tangible automation solutions, offering clear benchmarks for integrating deep learning into programmable logic controllers and robotic arms. Through these contributions, Rybczak is shaping how intelligent systems learn, adapt, and operate in both mobile and fixed industrial contexts.