Hamid Moeenfard

Ferdowsi University of Mashhad

Papers

1

Total Citations

10

H-Index

1

About

Dr. Hamid Moeenfard is a leading researcher in rehabilitation robotics and intelligent control systems, with a focus on developing adaptive, human-centered robotic technologies. His most-cited work, "Variable Impedance Control for Rehabilitation Robot using Interval Type-2 Fuzzy Logic" (2015, 10 citations), introduces a groundbreaking voltage control strategy that eliminates the need for complex dynamic models of both the robot and the patient. By leveraging interval type-2 fuzzy logic, Dr. Moeenfard’s approach enables real-time, adaptive impedance modulation, significantly improving safety and comfort in lower-limb rehabilitation. This innovation addresses a critical limitation of traditional torque-based control methods, which require extensive prior knowledge of system dynamics. His contributions are pivotal for advancing assistive robotics, particularly in clinical and home-based rehabilitation settings. Dr. Moeenfard’s work bridges the gap between theoretical control engineering and practical therapeutic applications, offering a robust framework for personalized, patient-responsive robotic assistance. His research continues to inspire new directions in human-robot interaction and adaptive control, with lasting impact on the field of rehabilitation engineering.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Variable Impedance Control for Rehabilitation Robot using Interval Type-2 Fuzzy Logic
10 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Ferdowsi University of Mashhad

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago