Gheorghe Mogan
Papers
18
Total Citations
406
H-Index
5
About
Gheorghe Mogan is a leading researcher in robotics and human-robot interaction, with a particular focus on intelligent control systems and collaborative robotics. His most impactful work centers on applying neural networks and reinforcement learning to enable autonomous obstacle avoidance for mobile robots and redundant manipulators, with his 2016 paper on this topic accumulating 199 citations. Mogan has made significant contributions to human-robot interaction by developing novel control interfaces, including an Electrooculography (EOG)-based system that uses eye blinking for robot control, and by conducting manipulation experiments in immersive virtual reality to evaluate human-robot collaboration. His research extends to multi-robot systems, where he has pioneered methods for NAO robot collaboration in object manipulation and industrial robot cooperation for tasks such as winding carbon wire composite structures and spray painting. Mogan has also explored fuzzy logic control for unicycle robots and developed SCADA-based systems for industrial robot cooperation. His work, spanning from theoretical foundations to practical applications, has earned over 380 citations, establishing him as an influential figure in advancing autonomous and collaborative robotic systems.
Research Focus
Key Achievements
Top Papers
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- 4Using Eye Blinking for EOG-Based Robot Control20 citations · 2010
- 5NAO Robots Collaboration for Object Manipulation7 citations · 2013
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- 7Virtual Planning of Robot Trajectories for Spray Painting Applications5 citations · 2014
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- 9Obstacle Avoidance using Fuzzy Controller for Unicycle Robot5 citations · 2020
- 10Control Interfaces for a Collaborative System Using LabView Package4 citations · 2012