Olena Tachinina
Papers
3
Total Citations
15
H-Index
2
About
Olena Tachinina is a researcher specializing in the optimization of complex robotic systems, with a primary focus on the path planning and control of unmanned aerial vehicles (UAVs) and information robots. Her major contributions lie in developing novel methods for constructing and optimizing branching paths for compound dynamic systems—groups of UAVs that must coordinate movement after separation. Her 2017 paper, "Path constructing method of unmanned aerial vehicle," which has garnered 11 citations, proposes a framework for modeling optimal branching trajectories in these systems. In related work, she has established necessary and sufficient conditions for optimizing such paths using dynamic programming, ensuring efficient subsystem coordination. Tachinina has also contributed to robotics engineering through her 2022 work on tuning multi-circuit digital regulators, enhancing the adjustable dynamic characteristics of robot drives. Her research bridges theoretical optimization with practical control systems, offering valuable insights for autonomous vehicle coordination and multi-agent robotics. With a growing citation record, Tachinina’s work is foundational for advancing the efficiency and reliability of unmanned systems in complex operational environments.
Research Focus
Key Achievements
Top Papers
- 1Path constructing method of unmanned aerial vehicle11 citations · 2017
- 2
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