Roman Tsarev
Papers
3
Total Citations
7
H-Index
2
About
Roman Tsarev is a researcher focused on mobile robotics and autonomous navigation, with particular expertise in motion estimation and spatial orientation using computer vision techniques. His work centers on developing algorithms that enable robots to perceive and navigate their environments through range sensor data, notably employing the Hough transform for feature extraction. In his highly cited 2018 paper, Tsarev proposed an algorithm for mobile robot motion estimation that uses range scans to describe surrounding space geometry, allowing robots to track their movement relative to previous positions. He further advanced this approach in a companion study on two-dimensional angular orientation, converting the orientation problem into a rotational evaluation of sensor data. More recently, Tsarev has expanded into simulation modeling for firefighting robotics, developing methods to simulate cooling of building structures by fire robots. His contributions, while modest in citation count, represent practical advances in sensor-based navigation for mobile platforms, demonstrating how classical computer vision techniques can be adapted for real-time robotic localization and orientation tasks in both industrial and emergency response applications.
Research Focus
Key Achievements
Top Papers
- 1Mobile robot motion estimation using Hough transform3 citations · 2018
- 2
- 3