Ilmir Z. Ibragimov
Papers
1
Total Citations
69
H-Index
1
About
Ilmir Z. Ibragimov is a distinguished researcher in robotics and autonomous navigation, with a primary focus on simultaneous localization and mapping (SLAM) and sensor fusion for mobile robots. His most-cited work, "Comparison of ROS-based visual SLAM methods in homogeneous indoor environment" (2017, 69 citations), provides a critical benchmark for the robotics community by systematically evaluating the performance of visual SLAM algorithms—including those using conventional cameras, LIDAR, ZED stereo cameras, and Kinect sensors—in challenging, feature-sparse indoor settings. This study has become a foundational reference for researchers selecting appropriate SLAM pipelines for real-world mobile robot applications. Ibragimov’s contributions are particularly notable for their practical emphasis on feasibility and trajectory accuracy, bridging the gap between theoretical SLAM development and deployment in homogeneous environments. His work has been widely cited by peers advancing autonomous navigation, sensor integration, and ROS-based robotics, underscoring his impact on the field. Through rigorous comparative analysis, Ibragimov continues to shape best practices for robust perception in indoor robotics.
Research Focus
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Top Papers
- 1