Yuriy Kozhubaev
Papers
4
Total Citations
68
H-Index
4
About
Dr. Yuriy Kozhubaev is a leading researcher at the intersection of soft robotics, autonomous navigation, and intelligent control systems. His work is unified by a focus on symmetry—whether in the physical modeling of soft pneumatic actuators with symmetrical chambers, or in the dynamic path planning of mobile robots traversing symmetrical trajectories. Dr. Kozhubaev’s major contributions include pioneering the fusion of improved A* and artificial potential field algorithms for mobile robot path planning in natural resource exploration, a work that has garnered 26 citations since 2024. He has also advanced the field of soft robotics by developing incremental machine learning techniques for controlling soft pneumatic actuators (18 citations) and by symmetrically modeling the physical properties of silicone-based flexible structures (16 citations). His research extends to life-saving applications, as demonstrated by his 2025 study on navigation and dynamic path planning for automated rescue robots in coal mines. With a growing citation record and a portfolio that bridges theoretical modeling with practical deployment, Dr. Kozhubaev is establishing himself as a key innovator in creating more adaptable, intelligent, and safe robotic systems for challenging environments.
Research Focus
Key Achievements
Top Papers
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