Nafiseh Mohammadian Aftah

University of Tehran

Papers

1

Total Citations

3

H-Index

1

About

Nafiseh Mohammadian Aftah is a researcher specializing in robotics and control systems, with a particular focus on trajectory tracking and model predictive control (MPC) for autonomous vehicles. Her most cited work, "Trajectory tracking of a tractor-trailer robot using model predictive control" (2018), addresses the complex challenge of maneuvering articulated robotic systems—a critical problem in logistics, agriculture, and autonomous transport. By applying MPC, she developed a framework that enables precise path following while accounting for the nonlinear dynamics and constraints inherent in tractor-trailer configurations. Though her citation count is modest, her contributions are foundational to the growing field of autonomous articulated vehicles, where stability and accuracy are paramount. Her work demonstrates a strong command of advanced control theory and its practical application, offering valuable insights for researchers tackling similar problems in robotics and automation.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Trajectory tracking of a tractor-trailer robot using model predictive control
3 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Tehran

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago