Yury Brodskiy
Papers
6
Total Citations
62
H-Index
3
About
Yury Brodskiy is a robotics researcher whose work focuses on advancing autonomous underwater vehicle (AUV) capabilities, particularly in simulation, navigation, and mission planning. His most significant contributions lie in developing high-fidelity underwater simulators and synthetic datasets that bridge the gap between theory and real-world application. Brodskiy is the lead author of "UNav-Sim" (32 citations), a visually realistic underwater robotics simulator that enables cost-effective algorithm development and testing. He also created MIMIR-UW (16 citations), a multipurpose synthetic dataset supporting simultaneous localization and mapping (SLAM), depth estimation, and object segmentation for underwater environments. More recently, Brodskiy has pioneered the use of behavior trees for mission planning and safety assessment in autonomous pipeline inspection, as detailed in his 2024 paper. His earlier work on robust autonomy for interactive robots and fault avoidance in motion-control software demonstrates a sustained commitment to reliable, real-world robotic systems. With over 60 total citations, Brodskiy’s research is instrumental in making underwater robotics more accessible, safe, and effective for critical infrastructure inspection and environmental monitoring.
Research Focus
Key Achievements
Top Papers
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- 3Robust autonomy for interactive robots7 citations · 2014
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