Papers
3
Total Citations
20
H-Index
3
About
Petr Bezmen is a robotics and control systems researcher whose work focuses on the electromechanical foundations of intelligent automation. His primary research areas include digital control of electromechanical systems, sensor data integration, and advanced filtering techniques for mobile robotics. In his most cited work, Bezmen explores the digital control of electromechanical systems with end-effectors, emphasizing the implementation of regulated torque modes—a contribution directly applicable to service and industrial robotics. He has made significant strides in mobile robot autonomy by adapting the Extended Kalman Filter (EKF) for sensor data fusion, and further enhanced its robustness by supplementing it with an adaptive digital filter to compensate for estimation errors. His research has accumulated over 20 citations, with his 2017 paper on torque-regulated electromechanical systems serving as his most influential work. Bezmen’s contributions are particularly notable for bridging theoretical control algorithms with practical robotic applications, offering solutions that improve the precision and reliability of autonomous systems. His work is essential reading for students and researchers interested in the intersection of control theory, sensor integration, and mobile robotics.
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