Papers

2

Total Citations

29

H-Index

2

About

Morteza Tayefi is a researcher specializing in nonlinear control theory, geometric mechanics, and autonomous robotics. His work focuses on the rigorous mathematical modeling and control of nonholonomic systems, particularly unicycle-type vehicles and unmanned mobile robots. Tayefi’s major contributions lie in leveraging Lie group theory—specifically the special Euclidean group SE(2)—to address fundamental challenges in set-point stabilization, trajectory tracking, and formation control. His most cited paper (2017, 23 citations) introduces a unified framework using exponential coordinates for logarithmic control of nonholonomic vehicles, offering elegant geometric solutions to problems that traditionally required complex nonlinear techniques. This work has influenced subsequent research in multi-robot coordination and autonomous navigation. Tayefi also advanced self-balancing control strategies for mobile robots through controlled Lagrangian and geometric control methods (2017, 6 citations), demonstrating how energy-based approaches can stabilize inherently unstable systems. His research bridges abstract differential geometry with practical robotics, providing tools that enable precise motion control in constrained environments. Tayefi’s contributions are particularly valuable for students and engineers working on autonomous ground vehicles, formation flying, and mobile manipulation, offering mathematically principled pathways to robust, scalable control solutions.

Research Focus

Key Achievements

2
H-Index
2
Papers
29
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Logarithmic control, trajectory tracking, and formation for nonholonomic vehicles on Lie group SE(2)
23 citations · 2017
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Peking University, State Key Laboratory of Turbulence and Complex Systems

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago