Roman Sokolovskyi
Papers
1
Total Citations
9
H-Index
1
About
Roman Sokolovskyi is a robotics researcher specializing in bio-inspired underwater vehicle design and control systems. His work focuses on advancing autonomous underwater vehicles (AUVs) by drawing inspiration from biological locomotion, particularly the efficient maneuvering of manta rays. His most cited paper, "Software Control Architecture for the BOSS Manta Ray AUV Actuation System" (2018), presents a novel control framework for a bio-inspired AUV, addressing critical challenges in underwater exploration such as limited operation time and maneuverability. This work, with 9 citations, demonstrates his contribution to making underwater robotics more accessible and effective through biomimetic design. Sokolovskyi’s research bridges the gap between biological principles and engineering practice, offering scalable solutions for deep-sea exploration, environmental monitoring, and defense applications. His achievements highlight the potential of bio-locomotion to revolutionize underwater vehicle performance, positioning him as a key contributor to the next generation of autonomous marine systems.
Research Focus
Key Achievements
Top Papers
- 1