Papers
2
Total Citations
51
H-Index
2
About
Grigory Eliseenko is a leading researcher in autonomous underwater robotics, with a primary focus on fault diagnostics, reconfigurable software platforms, and multi-vehicle coordination for unmanned underwater vehicles (UUVs). His most cited work, "Application of artificial intelligence techniques for fault diagnostics of autonomous underwater vehicles" (31 citations), introduces AI-driven monitoring and emergency systems that significantly enhance mission success rates by ensuring subsystem fault tolerance and operational safety. Complementing this, his paper on a "Reconfigurable distributed software platform for a group of UUVs" (20 citations) presents a lightweight, OS-independent architecture for real-time data exchange among underwater and surface vehicles, enabling scalable and flexible multi-robot operations. Eliseenko’s contributions bridge critical gaps in underwater autonomy—combining robust fault detection with modular software design—making his work foundational for reliable, long-duration missions. His research directly supports advances in ocean exploration, environmental monitoring, and defense applications, positioning him as a key innovator in the field of intelligent underwater systems.
Research Focus
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Top Papers
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