Papers

2

Total Citations

14

H-Index

2

About

Yasir Mehmood is a robotics and control systems researcher whose work focuses on the robust control of autonomous and industrial robotic platforms. His key research areas include nonlinear control theory, fuzzy logic systems, and the modeling and optimization of robotic manipulators. Mehmood’s most notable contribution is the development of a robust fuzzy sliding mode controller for skid-steered vehicles (SSVs), addressing the critical challenge of maintaining precise trajectory tracking under varying friction conditions—a problem central to SSV applications in construction, agriculture, and material handling. This work, published in 2021, has garnered 10 citations, reflecting its practical relevance. More recently, he has contributed a comprehensive review on the analytical modeling, virtual prototyping, and performance optimization of Cartesian robots (2025, 4 citations), synthesizing approaches for flexible-configuration systems, including linear belt drives. This review serves as a valuable resource for researchers and engineers working on industrial automation. Mehmood’s work bridges theoretical control design with real-world robotic applications, making his research impactful for both academic study and industrial deployment.

Research Focus

Key Achievements

2
H-Index
2
Papers
14
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Robust fuzzy sliding mode controller for a skid-steered vehicle subjected to friction variations
10 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: National University of Sciences and Technology, University of Padua

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago