Mohammad Mahdi Ataei

Sharif University of Technology

Papers

2

Total Citations

8

H-Index

2

About

Mohammad Mahdi Ataei is a robotics researcher whose work focuses on the critical challenge of human-robot interaction, particularly in the development of adaptive control systems for exoskeleton robots. His primary research areas include adaptive impedance control, rehabilitation robotics, and human-robot coordination. Ataei's major contribution lies in formulating novel impedance control algorithms that address the unique complexities of exoskeleton systems, which operate without predefined paths and must seamlessly synchronize with human movement. His most cited work, "An adaptive impedance control algorithm; Application in exoskeleton robot" (2015, 6 citations), provides both mathematical proof and simulation validation of his control approach, demonstrating how robots can dynamically adjust their mechanical impedance to work in harmony with human users. This research tackles the fundamental challenge of achieving "thorough coordination between robot movements and that of the user," a complexity that has long hindered the practical deployment of wearable robotic systems. Ataei's work contributes to the broader goal of realizing machines that can augment human physical capabilities, with potential applications in rehabilitation, industrial assistance, and human augmentation technologies.

Research Focus

Key Achievements

2
H-Index
2
Papers
8
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
An adaptive impedance control algorithm; Application in exoskeleton robot
6 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Sharif University of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago