Roman Morozov
Papers
2
Total Citations
12
H-Index
2
About
Roman Morozov is a leading researcher in the field of marine robotics and autonomous multi-agent systems, with a focus on the coordination and navigation of robotic groups in complex, unknown environments. His work centers on developing hybrid planning methods that enable marine robotic complexes—such as autonomous underwater vehicles (AUVs)—to navigate safely and efficiently through obstacle-rich, a priori unknown terrains. Morozov’s major contribution lies in advancing group movement strategies that integrate real-time environmental sensing with adaptive path planning, addressing critical challenges in underwater exploration and surveillance. His most-cited paper, “Development of a Hybrid Method for Planning the Movement of a Group of Marine Robotic Complexes in a Priori Unknown Environment with Obstacles” (2021, 9 citations), provides a foundational framework for this work. Additionally, his 2020 study on forming quantitative indicators of environmental complexity offers novel methods for assessing obstacle distributions and functional characteristics of autonomous mobile robots. Though early in his citation impact, Morozov’s research is gaining traction for its practical relevance to defense, oceanography, and search-and-rescue operations, marking him as an emerging innovator in intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2