Hedyeh Jafari

Luleå University of Technology

Papers

2

Total Citations

9

H-Index

2

About

Hedyeh Jafari is a researcher whose work bridges the critical intersection of robotics and human biomechanics. Her primary research areas include nonlinear model predictive control (NMPC) for autonomous systems and the computational modeling of human postural control. Jafari’s most significant contribution is her pioneering approach to handling network-induced time delays in robotic navigation. In her highly cited 2023 paper, she proposed a multi-stage NMPC framework that enables Micro Aerial Vehicles (MAVs) to maintain collision-free navigation even under varying communication delays—a fundamental challenge for deploying robots with edge computing. This work has garnered 5 citations and addresses a key bottleneck in real-world autonomous flight. In parallel, Jafari has made notable strides in biomechanics, developing optimal control models that accurately replicate the subtle sway of human upright stance. Her 2023 paper on this topic (4 citations) offers a simplified yet powerful tool for clinical applications, potentially aiding in the diagnosis and adaptation to age-related balance disorders. By unifying advanced control theory with human motor control, Jafari is creating technologies that are both more autonomous and more human-aware.

Research Focus

Key Achievements

2
H-Index
2
Papers
9
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Multi-Stage NMPC for a MAV based Collision Free Navigation Under Varying Communication Delays
5 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Luleå University of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago