Soheil Ganjefar
Bu-Ali Sina University, Iran University of Science and Technology
Papers
9
Total Citations
118
H-Index
5
About
Soheil Ganjefar is a leading researcher in robotics and control systems, whose work centers on teleoperation, cooperative robotics, and mobile robot stability. His major contributions lie in developing advanced sliding mode and adaptive controllers that ensure stability and optimal performance in complex robotic systems, particularly under challenging conditions like time delays, system disturbances, and modeling errors. Ganjefar’s most impactful work, including his highly cited 2015 and 2014 papers on adaptive sliding mode controllers for nonlinear teleoperation systems using singular perturbation methods, has garnered over 30 citations each, demonstrating significant influence in the field. He has also pioneered novel approaches for cooperative robotic systems, fuzzy sliding mode control, and dynamic stability optimization for redundant mobile robots using genetic algorithms—the latter earning 16 citations for its practical insights into rough-terrain navigation. His recent innovations include torque sensorless control and omnidirectional mobile robot path tracking, showcasing his ongoing commitment to pushing the boundaries of robotic autonomy and precision. Ganjefar’s research not only advances theoretical foundations but also offers practical solutions for real-world robotic applications, making him a key figure in modern control engineering.
Research Focus
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Top Papers
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