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About

Andrej Cibicik is a leading researcher at the intersection of robotics, structural dynamics, and digital twin technology. His work centers on the development of advanced computational models for flexible robotic manipulators and heavy machinery, with a particular focus on condition monitoring and real-time simulation. Cibicik’s most impactful contribution is his pioneering experimental study on digital twin-based condition monitoring for knuckle boom cranes, which has garnered 127 citations. This work demonstrates a novel, real-time nonlinear finite element simulation that integrates payload estimation, setting a new standard for predictive maintenance in offshore and industrial settings. He has also made significant theoretical advances by introducing dual screw theory and Lie groups to model the kinematics and dynamics of flexible robotic arms, a methodology that provides a unified framework for complex multibody systems. Further practical innovations include a robotic weld groove scanning procedure for large tubular T-joints using a line laser sensor, enhancing automation in heavy fabrication. Cibicik’s research is distinguished by its seamless blend of rigorous mathematical formalism with tangible engineering applications, making him a key figure in the advancement of smart, self-aware mechanical systems.