Papers
2
Total Citations
13
H-Index
2
About
Amr Gaber is a researcher specializing in robotics and intelligent control systems, with a focus on industrial automation and precision manipulation. His work addresses critical challenges in robotic arm control, particularly in high-stakes applications such as automotive inspection. Gaber’s major contributions include developing novel strategies for solving inverse kinematics problems using fuzzy logic control, as demonstrated in his 2021 paper on uncertainty solution for robot parameters. This approach, which employs an IP camera-based observational error model alongside two fuzzy control techniques, enables more accurate positioning for tasks like inspecting cracked exhaust systems. His 2019 work on fractional order PID controllers optimized through Particle Swarm Optimization further advances position control for 2-DOF robot arms, offering enhanced stability and precision for industrial applications including assembly, welding, and hazardous material handling. With his most-cited papers accumulating 7 and 6 citations respectively, Gaber’s research bridges theoretical control methods with practical robotic implementations. His work contributes meaningfully to the growing field of intelligent automation, where adaptive control systems are essential for improving both safety and efficiency in manufacturing environments.
Research Focus
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Top Papers
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