Gulhayo Takhirova

Tashkent University of Information Technology

Papers

1

Total Citations

3

H-Index

1

About

Gulhayo Takhirova is a researcher advancing intelligent mechatronic systems and robotic control for Industry 4.0 applications. Her work focuses on developing innovative control methods for manipulators built on intelligent mechatron modules, addressing the critical challenge of managing the complexity and variety of control modes in modern industrial robots. Her most-cited paper, "Positional-velocity control of the manipulator built on the basis of an intelligent mechatron module" (2023), proposes a novel approach to enhance production efficiency by integrating sophisticated positional-velocity control strategies. With 3 citations in a short time, this work is gaining traction among engineers seeking to streamline robotic automation. Takhirova’s contributions are particularly relevant as industries transition toward smarter, more adaptive manufacturing systems, where her research helps bridge the gap between theoretical control algorithms and practical implementation. Her focus on simplifying control without sacrificing precision positions her as an emerging voice in mechatronics, with potential to influence next-generation robotic design for flexible production lines.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Positional-velocity control of the manipulator built on the basis of an intelligent mechatron module
3 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Tashkent University of Information Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago