Oksana Emelyanova
Southwest Minnesota State University, South-West State University
Papers
3
Total Citations
10
H-Index
2
About
Oksana Emelyanova is a robotics and automation researcher whose work focuses on intelligent control systems for autonomous platforms and safety-critical applications. Her research spans three key areas: unmanned aerial vehicle (UAV) control, medical robotics, and early hazard detection systems. In her most cited work (5 citations), she developed an adaptive PID based MPC control system to mitigate wind effects on UAVs, addressing a critical challenge for coastal surveillance missions in Ecuador. She also designed and automated a robotic device for precise patient positioning during medical examinations and surgeries (3 citations), demonstrating the translational impact of her work in healthcare. Additionally, Emelyanova has contributed algorithms for robotic intelligent systems capable of predicting fire hazardous situations at an early stage (2 citations), tackling the pressing need for continuous chemical monitoring in workplaces. Her research integrates adaptive control theory with practical robotic implementations, showing particular strength in applying advanced control strategies to real-world monitoring and safety problems. With all three highly cited papers published between 2023-2024, Emelyanova represents an emerging voice in intelligent robotic systems, bridging the gap between theoretical control algorithms and deployable autonomous solutions for environmental, medical, and industrial safety applications.
Research Focus
Key Achievements
Top Papers
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