About

Majid M. Moghaddam is a leading figure in the field of robotic systems, with a career spanning over two decades focused on the design, modeling, and control of specialized robots for challenging environments. His research primarily targets mobile robotics, medical and rehabilitation devices, and pipeline inspection technologies. A key contribution is the development of the "MSRox," a stair-climbing smart mobile robot (56 citations), and a novel SMA-actuated robotic module (54 citations), showcasing his expertise in innovative actuation. In medical robotics, Moghaddam has made significant strides in rehabilitation, creating a wearable robot for wrist and finger therapy controlled by a fuzzy sliding mode controller (31 citations) and an EMG-driven, fatigue-adaptive admittance controller for hand rehabilitation (24 citations). His work also extends to surgical precision with the analysis and optimization of a parallel RCM mechanism for craniotomy surgery (16 citations). With a strong focus on underactuated systems, as seen in his modeling and robust backstepping control of a quadruped robot (34 citations), Moghaddam’s research is distinguished by its practical application, from pipe inspection crawlers to haptic devices like "VirSense" (16 citations). His cumulative impact, evidenced by over 300 citations across his top ten papers, underscores his influence in advancing both theoretical control methods and real-world robotic solutions.

Research Focus

Key Achievements

12
H-Index
41
Papers
483
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Stair Climber Smart Mobile Robot (MSRox)
56 citations · 2006
📈 Most Prolific Year: 2014 (3 Papers)
🤝 Key Collaborators: 47
🏛 Institutions: Tarbiat Modares University, McGill University, University of Toronto, K.N.Toosi University of Technology, Ilam University, University of Tehran

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago