Arif A. Al-Qassar
Papers
2
Total Citations
76
H-Index
2
About
Arif A. Al-Qassar is a leading researcher in robotics and control systems, with a focus on the design and intelligent automation of mobile robots for real-world applications. His work centers on developing robust, optimized control strategies for autonomous navigation, particularly for omnidirectional and surveillance platforms. Al-Qassar’s most influential contribution is his 2021 paper on the embedded design of a mobile robot for surveillance, which has garnered 45 citations by providing a practical, low-cost solution for securing hazardous and sensitive areas. He further advanced the field with his 2022 study on a PSO-optimized neural network PID control approach for four-wheeled omnidirectional mobile robots, earning 31 citations for its novel integration of swarm intelligence and adaptive control to enhance maneuverability and precision. These works demonstrate his impact in bridging theoretical control algorithms with deployable hardware, making him a key figure in the development of safer, more autonomous robotic systems for industrial and security applications.
Research Focus
Key Achievements
Top Papers
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