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About

Andrzej Kot is a researcher specializing in intelligent control systems for robotics and rehabilitation, with a focus on fuzzy logic, neural networks, and neuro-fuzzy approaches. His work addresses critical challenges in robot manipulator control, particularly for rehabilitation applications where precision and safety are paramount. Kot's most cited paper, "Fuzzy logic controller for rehabilitation robot manipulator" (2014, 8 citations), presents a two-degree-of-freedom robot control system designed specifically for therapeutic use. He further advanced the field with "Neural Network Control for Robot Manipulator" (2019, 6 citations), exploring machine learning methods for robotic control. Kot has also contributed to mobile robotics through "Advanced control algorithms for mobile robot" (2017, 4 citations), which investigates ANFIS-based neuro-fuzzy systems, and to nonlinear control with "Type-2 fuzzy logic controller for nonlinear object control" (2015, 3 citations). His recent work includes Kalman filter applications for stabilizing balancing robots (2020). Across his publications, Kot demonstrates a consistent commitment to bridging artificial intelligence and practical robotics, developing controllers that enhance both rehabilitation outcomes and autonomous robot performance.