Zoia Meleshkova
Papers
2
Total Citations
14
H-Index
2
About
Zoia Meleshkova is a researcher focused on advancing industrial robotics through mathematical modeling and optimization. Her primary research areas include the kinematics and dynamics of robotic manipulators, vibration protection in automated systems, and cost-effective solutions for industrial automation. Her most cited work, "Calculation and Optimization of Industrial Robots Motion" (2020, 10 citations), addresses the critical challenge of improving automated manufacturing systems by optimizing the motion of low-cost robotic manipulators with programmed control—an approach that enables widespread industrial adoption without expensive sensors. In her related study, "Vibration Protection of the Robotic Arm From External Effects on the Base" (2020, 4 citations), she tackles the practical problem of protecting robotic arms from base vibrations using matrix Lagrange equations to derive dynamic models. Meleshkova’s contributions are particularly valuable for industries seeking to enhance precision and reliability in automated processes while minimizing costs. Her work bridges theoretical mechanics and practical engineering, offering accessible solutions for small and medium enterprises. With a growing citation record, she is establishing herself as a thoughtful voice in affordable robotics and vibration mitigation.
Research Focus
Key Achievements
Top Papers
- 1Calculation and Optimization of Industrial Robots Motion10 citations · 2020
- 2