Mohammadreza Asghari Oskoei

University of Essex, Allameh Tabataba'i University, University of Tehran

Papers

12

Total Citations

1,347

H-Index

6

About

Mohammadreza Asghari Oskoei is a leading researcher in assistive robotics and human-robot interaction, whose work bridges the critical gap between human physiology and autonomous machine control. His seminal survey, "Myoelectric control systems—A survey" (2007), has accumulated over 1,238 citations, establishing the foundational framework for using electrical signals from muscles to control prosthetic devices. This landmark work remains essential reading for anyone entering the field of bionic limb control. Oskoei’s research extends deeply into mobile robot navigation, where he has pioneered novel path planning algorithms using RRT* in dynamic environments and developed innovative sonar vision techniques applied to omnidirectional cameras. His contributions to ambient assisted living are particularly impactful, including the development of ROS-based multi-robot architectures and autonomous proxemic systems that enable companion robots to maintain socially appropriate distances from humans. Oskoei has also advanced practical rehabilitation technologies, demonstrating how multi-finger myoelectric signals can control virtual prosthetic hands, and improving wheelchair navigation through multi-sensor fusion. His work on hybrid particle and FIR filters for indoor positioning has enhanced SLAM performance, directly supporting the goal of creating intelligent, autonomous systems that empower elderly and disabled individuals to live independently.

Research Focus

Key Achievements

6
H-Index
12
Papers
1,347
Total Citations
112
Avg Citations/Paper
🏆 Most Cited Paper
Myoelectric control systems—A survey
1,238 citations · 2007
📈 Most Prolific Year: 2015 (3 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: University of Essex, Allameh Tabataba'i University, University of Tehran

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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