Dmitry N. Aldoshkin

Papers

Total Citations

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About

Dmitry N. Aldoshkin is a robotics researcher specializing in mobile robot localization and perception, with a particular focus on sensor-based motion estimation. His work centers on developing algorithms that enable robots to understand their spatial orientation and movement using range sensor data. Aldoshkin's major contributions include novel approaches to robot motion estimation through the application of the Hough transform to range scan data, allowing robots to describe and compare the geometry of their surrounding environment across different time points. His 2018 paper "Mobile robot motion estimation using Hough transform" (3 citations) proposes an algorithm that uses distance measurements to track robot movement, while his related work "Evaluation of Two-Dimensional Angular Orientation of a Mobile Robot by a Modified Algorithm Based on Hough Transform" (2 citations) addresses the critical challenge of determining a robot's angular orientation relative to reference positions or environmental maps. Though his citation counts are modest, Aldoshkin's research contributes to the foundational challenge of autonomous navigation, particularly in converting orientation problems into measurable dimensional rotations—an approach that holds promise for improving how robots perceive and navigate through complex, unstructured environments.