Anton V. Proskurnikov

Institute of Problems of Mechanical Engineering

Papers

Total Citations

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About

Anton V. Proskurnikov is a leading researcher in multi-agent control, social dynamics modeling, and autonomous robotics. His work bridges theoretical control engineering with real-world applications, particularly in the guidance and coordination of mobile robots. Among his most influential contributions is the development of a guiding vector field algorithm for moving path following, which enables a nonholonomic robot to track a curvilinear path attached to a moving frame, even under constant exogenous disturbances—a paper that has garnered 22 citations. He has also advanced the understanding of recurrent averaging inequalities, a key tool in multi-agent control and social dynamics modeling, with his 2020 work on this topic receiving 19 citations. Additionally, Proskurnikov has made notable strides in signal invariance and trajectory steering for autonomous wheeled robots, offering a new parametrization of linear controllers for disturbance cancellation. His work is highly regarded for its mathematical rigor and practical relevance, making him a significant figure in the fields of control theory and robotics.