Papers

7

Total Citations

59

H-Index

5

About

Anna Nozdracheva is a leading researcher in medical robotics, specializing in the design and optimization of parallel and serial-parallel manipulators for biomedical applications. Her work bridges robotics, machine vision, and rehabilitation engineering. She is best known for her contributions to robotic systems for biomaterial aliquoting, notably the "Optimal Design of a Parallel Manipulator for Aliquoting of Biomaterials" (24 citations), which introduced a Delta-like robot combined with a serial manipulator for precise blood serum handling. Her 2023 paper on a "Robotic System for Blood Serum Aliquoting Based on a Neural Network Model of Machine Vision" (9 citations) advanced automated laboratory diagnostics by integrating AI-driven visual feedback. In rehabilitation robotics, Nozdracheva has made significant strides with her work on sitting-type lower-limb rehabilitation systems, including the "Conceptual Design and Control of a Sitting-Type Lower-Limb Rehabilitation System" (8 citations) and related studies optimizing geometric parameters and workspace (5 citations each). Her research consistently emphasizes practical, data-driven design—using clinical data and 3D modeling to enhance robot performance and safety. With a growing citation impact and a focus on translating robotic theory into clinical and laboratory tools, Nozdracheva is shaping the future of assistive and diagnostic medical robotics.

Research Focus

Key Achievements

5
H-Index
7
Papers
59
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Optimal Design of a Parallel Manipulator for Aliquoting of Biomaterials Considering Workspace and Singularity Zones
24 citations · 2022
📈 Most Prolific Year: 2020 (4 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Belgorod State Technological University, Gamalei Institute of Epidemiology and Microbiology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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