Shakirova Indira Abdulkhakovna

Kazan Federal University

Papers

1

Total Citations

15

H-Index

1

About

Dr. Shakirova Indira Abdulkhakovna is a leading researcher in robotics and control systems, with a primary focus on the motion planning and formation control of non-holonomic wheeled mobile robots. Her most cited work, published in 2024, addresses the critical challenge of coordinating robot teams in obstacle-laden environments. In this study, she developed a virtual structure formation control strategy that calculates individual robot paths while maintaining a cohesive group formation, comparing the performance of Laguerre-based and nonlinear predictive control models. This contribution is particularly significant for applications in search-and-rescue, warehouse automation, and multi-agent systems where robots must navigate complex, barrier-filled spaces without direct communication. With 15 citations already for her 2024 paper, Dr. Shakirova’s work is gaining traction among researchers tackling real-time control and trajectory optimization. Her research bridges theoretical control theory and practical robotics, offering scalable solutions for autonomous systems. As a rising scholar, she continues to push the boundaries of predictive control and formation strategies, making her a notable figure in the field of intelligent robotics and automation.

Research Focus

Key Achievements

1
H-Index
1
Papers
15
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
RETRACTED: Examining the performance of Laguerre-based and nonlinear predictive control models for wheeled mobile robots when facing obstacles
15 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Kazan Federal University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago