M. A. Vasileva

Southern Federal University, Robotics Research (United States)

Papers

Total Citations

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About

M. A. Vasileva is a researcher specializing in intelligent robotics and autonomous navigation, with a focus on neural network-based control systems and path planning in complex environments. Her work addresses critical challenges in enabling robots to operate safely and efficiently in obstacle-rich, two-dimensional mapped spaces. Vasileva’s most-cited paper, "Neural Network Control System of Motion of the Robot in the Environment with Obstacles" (2019), introduces a novel approach that leverages neural networks for real-time motion control, allowing robots to adapt dynamically to unforeseen obstacles—a key advancement for applications in industrial automation and search-and-rescue operations. Her subsequent study, "Study of Path Planning Methods in Two-Dimensional Mapped Environments" (2023), systematically evaluates and compares path planning algorithms, providing valuable insights for optimizing robot trajectories. With over 8 combined citations, Vasileva’s contributions are gaining traction in the robotics community, particularly for their practical implications in improving autonomous system reliability. Her work bridges the gap between theoretical control methods and real-world deployment, making her a promising voice in the field of intelligent robotics.