Papers

5

Total Citations

14

H-Index

2

About

Elena V. Serykh is a roboticist specializing in autonomous mobile systems, computer vision, and decentralized multi-robot control. Her research focuses on enabling robots to perceive and navigate real-world environments with minimal human intervention. In her most cited work, "Road marking recognition with computer vision system" (5 citations), she developed a vision-based system that allows a four-wheeled mobile robot to autonomously follow road markings, successfully tested on a practice ground. She also designed a control strategy for differential drive robots to maintain straight trajectories despite mismatched motors (4 citations), addressing a practical challenge in low-cost robotics. Serykh has advanced decentralized control architectures, using fuzzy logic to coordinate cooperative robot groups receiving signals from remote workstations and vision systems (2 citations). Her work on mobile robot qualification metrics (2 citations) provides frameworks for comparing robot performance across diverse environments. Most recently, she explored spherical robot locomotion, designing a three-omni-wheeled platform with DC motor actuators (1 citation). While her citation counts reflect an early-career stage, her contributions to practical, low-cost autonomous navigation and multi-robot coordination demonstrate a strong foundation for future impact in field robotics.

Research Focus

Key Achievements

2
H-Index
5
Papers
14
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Road marking recognition with computer vision system
5 citations · 2017
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Saint Petersburg State Electrotechnical University, Aalto University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago