Yuri A. Kapitanyuk

University of Groningen, ITMO University

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About

Yuri A. Kapitanyuk is a leading figure in the development of guiding vector field (GVF) algorithms for robotic path following, a critical area in autonomous navigation. His research focuses on solving complex motion control problems, particularly for nonholonomic robots like unicycle-type models operating under external disturbances. Kapitanyuk’s major contributions include pioneering a GVF algorithm for moving path following, enabling robots to track curvilinear paths attached to moving frames—a breakthrough for dynamic environments. His 2017 paper on this topic, with 22 citations, demonstrates its foundational impact. He further extended these concepts to three dimensions in his 2018 work (21 citations), rigorously analyzing a general 3D GVF that describes desired paths via surface intersections, advancing beyond prior 2D limitations. Beyond theoretical advances, Kapitanyuk has contributed to education through a lab activities course on control theory using the Lego NXT platform (3 citations), bridging theory and practice. His work is essential for researchers in robotics, control systems, and autonomous vehicles, offering robust solutions for real-world path following challenges.