Salimzhan Gafurov
Lappeenranta-Lahti University of Technology, Innopolis University
Papers
5
Total Citations
42
H-Index
3
About
Salimzhan Gafurov is a robotics researcher whose work centers on the control, navigation, and hydrodynamics of autonomous underwater vehicles (AUVs), with a particular focus on energy-efficient underwater gliders. His most cited work, "Optimal Control of an Underwater Glider Vehicle" (2017, 29 citations), addresses trajectory control and navigation for this novel class of AUVs that replace traditional thrusters with buoyancy-driven propulsion. Gafurov has also pioneered research into flow control around unmanned underwater robots, including the development of prototypes with variable body geometry to improve energy efficiency and reduce acoustic noise—critical challenges in modern underwater robotics. His contributions extend to deep reinforcement learning for continuous control systems and the integration of mixed reality for indoor robot exploration. Through experimental test benches and simulation studies, Gafurov has advanced the practical understanding of vibroacoustics and fluid dynamics in underwater platforms. His interdisciplinary approach, combining optimal control theory, machine learning, and experimental hydrodynamics, positions him as a notable contributor to the next generation of silent, efficient, and autonomous underwater systems.
Research Focus
Key Achievements
Top Papers
- 1Optimal Control of an Underwater Glider Vehicle29 citations · 2017
- 2Approach of Flow Control Around Unmanned Underwater Robot5 citations · 2018
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