Mateusz Szeremeta

Papers

Total Citations

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About

Mateusz Szeremeta is a robotics researcher specializing in intelligent control systems for mobile platforms, with a particular focus on omnidirectional vehicles. His most cited work, “Neural Tracking Control of a Four-Wheeled Mobile Robot with Mecanum Wheels” (2022, 43 citations), introduces a novel neural network-based algorithm that enables precise motion control for robots equipped with mecanum wheels. By integrating kinematic and dynamic models with Lyapunov stability theory, Szeremeta developed an adaptive control law that allows these robots to navigate complex trajectories with enhanced accuracy and robustness. His contributions address critical challenges in autonomous navigation, particularly for industrial and service robots requiring agile, holonomic movement. The paper’s citation count reflects its significance in the field of mobile robotics, offering a practical framework for real-time control that balances performance with computational efficiency. Szeremeta’s work bridges theoretical control theory and applied robotics, making it a valuable reference for researchers developing intelligent, self-correcting systems. His research continues to influence advancements in autonomous vehicle control and adaptive neural networks.