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
Top Papers
- 1Myoelectric control systems—A survey1,238 citations · 2007
- 2Mobile Robot Path Planning by RRT* in Dynamic Environments24 citations · 2015
- 3Towards ROS Based Multi-robot Architecture for Ambient Assisted Living19 citations · 2013
- 4An Autonomous Proxemic System for a Mobile Companion Robot18 citations · 2010
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- 8ROS Based Multi-sensor Navigation of Intelligent Wheelchair4 citations · 2013
- 9Improving Robot Navigation and Obstacle Avoidance using Kinect 2.04 citations · 2017
- 10