Mehdi Jokar

University of Tehran

Papers

1

Total Citations

5

H-Index

1

About

Mehdi Jokar is a robotics researcher whose work focuses on the control and design of lower-limb exoskeletons for power augmentation and rehabilitation. His most-cited paper, "A fast kinematic-based control method for lower-limb power augmentation exoskeleton" (2014, 5 citations), addresses a critical challenge in human-robot interaction: developing efficient control systems that enable seamless cooperation between the user and the robotic device. By proposing a kinematic-based approach, Jokar contributed to making exoskeleton control faster and more responsive, a key step toward practical assistive technologies. His research sits at the intersection of robotics, biomechanics, and control theory, with implications for both medical rehabilitation and industrial strength augmentation. While his citation count reflects a focused, early-stage career, his work is part of a growing effort to improve the safety and effectiveness of wearable robots. Jokar’s contributions help lay the groundwork for exoskeletons that can one day restore mobility or enhance human physical capabilities in real-world settings.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
A fast kinematic-based control method for lower-limb power augmentation exoskeleton
5 citations · 2014
📈 Most Prolific Year: 2014 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Tehran

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago