Papers
22
Total Citations
208
H-Index
7
About
Mahmut Reyhanoglu is a distinguished researcher whose work spans nonlinear control systems, robotics, and autonomous vehicles, with particular expertise in addressing the complex challenges of uncertain and dynamic environments. His foundational contributions to wheeled mobile robot control, documented as early as 2005, established critical theoretical groundwork by proving nonlinear controllability properties and demonstrating the fundamental limitations of time-invariant continuous feedback for stabilization—work that has accumulated 25 citations and continues to influence the field. Reyhanoglu has made significant strides in liquid sloshing suppression, authoring multiple highly cited studies on robotically controlled container transfer via PPR robots, collectively garnering over 60 citations and offering practical multi-mass-spring modeling frameworks for real-world industrial applications. His development of a Simple Learning (SL) strategy for feedback linearization control of aerial robots, cited 35 times, represents a landmark contribution to adaptive control under uncertainty. More recently, his machine learning-based control of autonomous vehicles for solar farm cleaning systems reflects a forward-looking research trajectory bridging intelligent automation with sustainable agriculture. His edited volume on unmanned robotic systems further underscores his commitment to advancing and disseminating knowledge across the global robotics research community.
Research Focus
Key Achievements
Top Papers
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- 3Nonlinear Control Of Wheeled Mobile Robots25 citations · 2005
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- 8Unmanned Robotic Systems and Applications7 citations · 2019
- 9
- 10Modeling and control of a flexible-structure-mounted manipulator5 citations · 2016