Oleg Sergyienko
Papers
1
Total Citations
50
H-Index
1
About
Oleg Sergyienko is a leading researcher in autonomous robotics, specializing in real-time 3D vision systems, multi-robot coordination, and navigation in unstructured environments. His major contribution lies in advancing the fusion of data clouds from 3D vision systems to enhance dead reckoning and group behavior for robotic teams operating in unknown, cluttered, or hazardous terrains. His most-cited work (50 citations) introduces an innovative navigation scheme that leverages a dynamic triangulation-based technical vision system (TVS), enabling autonomous robots to optimize mission performance across distributed areas without relying on GPS. This breakthrough improves situational awareness and collective decision-making in real-time. Sergyienko’s research is pivotal for applications in search-and-rescue, exploration, and defense, where reliable autonomy in challenging conditions is critical. His work demonstrates a profound impact on the field, providing a foundation for future advancements in collaborative robotics and sensor fusion.
Research Focus
Key Achievements
Top Papers
- 1