Papers

1

Total Citations

11

H-Index

1

About

Dr. Oksana Tsibizova is a leading researcher in robotics and computational modeling, with a primary focus on the dynamic simulation and control of manipulation robots. Her most significant contribution lies in the development of a parallel computational algorithm for object-oriented modeling, as detailed in her highly cited 2021 paper. By decomposing the dynamic model derived from the Lagrange–Euler method, she identified independent components that enable efficient parallel calculations, dramatically improving the speed and scalability of robot simulations. This work has garnered 11 citations, reflecting its importance in advancing real-time robotic control and design. Dr. Tsibizova’s innovative use of object-oriented programming to structure these algorithms has set a new standard for modular and reusable code in robotics research. Her achievements are particularly notable for bridging the gap between theoretical dynamics and practical implementation, offering engineers a powerful tool for optimizing manipulation tasks. Through her rigorous approach, she has established herself as a key figure in computational robotics, inspiring further exploration into high-performance modeling for complex robotic systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
11
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Parallel Computational Algorithm for Object-Oriented Modeling of Manipulation Robots
11 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Russian State Agrarian University - Moscow Timiryazev Agricultural Academy

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago