Sergiy Sheiko
Papers
1
Total Citations
17
H-Index
1
About
Sergiy Sheiko is a leading researcher in mobile robotics and multi-agent systems, with a focus on autonomous navigation in complex, unstructured environments. His work centers on developing distributed communication and perception frameworks that enable robotic groups to operate efficiently in densely cluttered terrains. A key contribution is his pioneering approach to individual scan fusion within virtual knowledge bases, which allows robots to share and integrate 3D terrain vision sensor (TVS) data in real time, optimizing collective path planning and obstacle avoidance. His most-cited paper, "Individual Scans Fusion in Virtual Knowledge Base for Navigation of Mobile Robotic Group with 3D TVS" (2018), with 17 citations, establishes foundational methods for solving distributed robotic group behavior challenges. Sheiko’s research has significant implications for search-and-rescue missions, autonomous exploration, and military reconnaissance, where reliable group coordination is critical. His work is notable for bridging theoretical algorithms with practical implementations, advancing the state of the art in swarm robotics and sensor fusion.
Research Focus
Key Achievements
Top Papers
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