T N Yamskikh

Papers

Total Citations

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About

Tatyana N. Yamskikh is a robotics researcher whose work centers on mobile robot navigation, motion estimation, and sensor-based perception of spatial environments. Her most cited contribution, "Mobile robot motion estimation using Hough transform" (2018), introduces an algorithm that leverages range sensor data to describe surrounding geometry and estimate robot movement by comparing spatial samples across time. This approach demonstrates a practical application of the Hough transform for real-time motion analysis in unknown environments. While her citation count is modest, her research addresses fundamental challenges in autonomous navigation—specifically, how robots can understand and track their own motion using only onboard range measurements. Her work contributes to the broader field of mobile robotics, particularly in areas where precise localization is critical, such as industrial automation or exploratory robotics. Yamskikh’s focus on sensor-driven spatial reasoning and motion estimation reflects a hands-on, algorithmic approach to solving real-world robotic perception problems, making her research relevant for students and engineers working on low-cost, sensor-based navigation systems.