Papers
16
Total Citations
153
H-Index
6
About
Abdullah M. Almeshal is a prominent robotics and control systems researcher whose work spans autonomous vehicles, robotic manipulators, and intelligent control strategies. His research has made significant contributions to the field of mobile robotics, particularly in the design and control of two-wheeled self-balancing vehicles and unmanned systems operating in complex, real-world environments. Almeshal's most influential work, "Optimal and Robust Control of Multi DOF Robotic Manipulator" (2018, 64 citations), demonstrates his expertise in developing precise and disturbance-resilient control architectures for industrial robotic arms. His vision-based neural network controller for autonomous quadrotor landing (2018, 28 citations) highlights his forward-thinking application of artificial intelligence to search and rescue robotics, addressing the critical challenge of time-sensitive disaster response. A recurring theme throughout his career is the development of innovative two-wheeled robotic platforms with movable payloads, where he has applied fuzzy logic, PID, and bio-inspired optimization algorithms such as bacterial foraging to achieve robust real-time performance across irregular terrains. His path planning research for hazardous indoor environments further underscores his commitment to practical, life-saving robotics applications. With over 100 cumulative citations, Almeshal's body of work represents a meaningful bridge between theoretical control design and real-world implementation.
Research Focus
Key Achievements
Top Papers
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- 3MODELLING OF TWO-WHEELED ROBOTIC WHEELCHAIR WITH MOVING PAYLOAD10 citations · 2011
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- 9REAL TIME PID CONTROL OF A TWO-WHEELED ROBOT4 citations · 2012
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