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About

Agata Nawrocka’s research lies at the intersection of biomechatronics, intelligent control, and robotics, with a particular focus on Brain-Computer Interfaces (BCI) and rehabilitation systems. Her work is distinguished by the innovative application of Hierarchical Systems (HS) technology to conceptualize and design BCIs for mobile robot control, bridging biological signals with mechanical execution. She has made significant contributions to rehabilitation robotics, developing fuzzy logic and neural network controllers for robot manipulators—critical for safe, adaptive human-robot interaction in therapeutic settings. Her studies on real-time identification of manipulator parameters using artificial neural networks and neuro-fuzzy systems (ANFIS) for mobile robot control demonstrate a sustained commitment to advancing autonomous and assistive robotics. While her citation counts (ranging from 2 to 10 per paper) reflect a focused, early-stage impact, her work is foundational in integrating soft computing techniques into practical robotic control. Notably, her 2020 BCI design paper and her 2014 fuzzy logic controller for rehabilitation represent key contributions to making robotic systems more responsive and human-centric. Nawrocka’s research offers a compelling blueprint for students and engineers interested in the convergence of AI, control theory, and biomedical engineering.