Timofey Tormagov

Skolkovo Institute of Science and Technology

Papers

Total Citations

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About

Timofey Tormagov is a researcher specializing in autonomous robotics, navigation systems, and precision agriculture, with a focus on developing sophisticated mathematical frameworks for real-world agricultural applications. His work addresses some of the most technically demanding challenges in agricultural automation, including path planning, motion stabilization, obstacle detection, and collision avoidance for wheeled robotic systems. Among his most notable contributions, Tormagov has advanced the mathematical formulation of control algorithms that enable autonomous wheeled robots to navigate agricultural environments with high precision. His 2022 paper on motion control in precision agriculture demonstrates how accurate navigation and attitude determination data can be synthesized into effective control strategies, while his 2021 work lays the theoretical groundwork by rigorously defining the key problems inherent in precision farming system design — including attraction domain estimation and real-time obstacle avoidance. Though still building his citation profile, with his leading papers accumulating a combined nine citations, Tormagov's research sits at a meaningful intersection of control theory, robotics, and sustainable agriculture. His contributions offer practical pathways toward resource-efficient farming systems, making his work increasingly relevant as demand for intelligent agricultural automation continues to grow globally.