Ksenia Shabalina

Kazan Federal University

Papers

10

Total Citations

148

H-Index

8

About

Ksenia Shabalina is a robotics researcher whose work spans mobile robot design, computer vision, and autonomous systems. She has established herself as a leading authority on fiducial marker systems, conducting extensive comparative analyses of widely-used frameworks including ArUco, AprilTag, ARTag, and CALTag across challenging real-world conditions such as occlusion, rotation, and noisy sensory data. Her 2017 and 2018 studies on fiducial marker performance — collectively accumulating over 50 citations — have become valuable references for researchers designing robot navigation, augmented reality, and industrial calibration systems. Beyond marker systems, Shabalina has made notable contributions to mobile robotics hardware and simulation. Her 2018 comparative analysis of wheeled robot platform designs (48 citations) provides a foundational resource for engineers navigating holonomic versus non-holonomic system trade-offs. She has also advanced simulation-based research through her work on the Avrora Unior car-like robot within the Gazebo environment, including modeling autonomous parallel parking procedures. With over 145 total citations across her published work, Shabalina's research bridges theoretical computer vision and practical robotics implementation, making her contributions particularly valuable to students and engineers developing autonomous and service robotic systems.

Research Focus

Key Achievements

8
H-Index
10
Papers
148
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Comparative Analysis of Mobile Robot Wheels Design
48 citations · 2018
📈 Most Prolific Year: 2017 (3 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Kazan Federal University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago