Papers
11
Total Citations
663
H-Index
8
About
Ahmed Elmogy is a leading researcher whose work bridges the critical domains of multi-robot coordination and rehabilitation robotics. He is best known for his seminal review, "Multi-robot Task Allocation: A Review of the State-of-the-Art," which has amassed nearly 500 citations and serves as a foundational reference for researchers tackling the complex problem of distributing tasks among autonomous agents. His early contributions to mobile surveillance systems introduced innovative market-based and hierarchical approaches for dynamic task allocation, addressing the challenge of coordinating multiple sensors and robots in real-time. More recently, Dr. Elmogy has made significant strides in medical robotics, designing an exoskeleton robot that integrates EMG-driven electrical stimulation for upper limb rehabilitation—a device that promises to enhance recovery for patients with motor impairments. His work also explores fuzzy logic and adaptive sliding mode control to improve the precision and robustness of robotic manipulators. With over 660 total citations across his publications, Dr. Elmogy’s research continues to influence both the theoretical foundations of multi-agent systems and the practical development of assistive robotic technologies.
Research Focus
Key Achievements
Top Papers
- 1Multi-robot Task Allocation: A Review of the State-of-the-Art479 citations · 2015
- 2Complex Task Allocation in Mobile Surveillance Systems50 citations · 2011
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- 4A Fuzzy Logic Architecture for Rehabilitation Robotic Systems34 citations · 2020
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- 7Dynamic complex task allocation in multisensor surveillance systems8 citations · 2009
- 8Market-based dynamic task allocation in mobile surveillance systems8 citations · 2009
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- 10Cooperative Multi Target Tracking Using Multi Sensor Network4 citations · 2008