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About

Marcin Nawrocki’s research lies at the intersection of robotics, control systems, and artificial intelligence, with a focus on developing intelligent controllers for rehabilitation and mobile robots. His major contributions include pioneering the use of fuzzy logic controllers for rehabilitation robot manipulators—addressing critical challenges in ensuring smooth, safe motion for human interaction. He has also advanced real-time system identification using artificial neural networks, enabling robots to adapt their behavior dynamically. Nawrocki’s work on neuro-fuzzy systems (ANFIS) for mobile robot control demonstrates his commitment to blending classical and AI-driven approaches. His most cited paper, “Fuzzy logic controller for rehabilitation robot manipulator” (2014, 8 citations), highlights his impact in assistive robotics. Additionally, his exploration of Type-2 fuzzy logic for nonlinear control and Kalman Filter-based stabilization for balancing robots showcases his versatility. With a growing body of work spanning neural network control and advanced algorithms, Nawrocki’s research offers practical solutions for safer, more adaptive robotic systems—making him a notable figure in intelligent control engineering.