Ahmad Fahmi

Papers

Total Citations

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About

Ahmad Fahmi is a researcher focused on robotics, control systems, and autonomous navigation, with particular expertise in self-balancing and mobile robot technologies. His work centers on developing innovative solutions for real-world automation challenges, from consumer assistance devices to advanced robotic stabilization systems. Fahmi's contributions include proposing a Camshift algorithm-based method for automatic trolley object position locking, enhancing convenience in retail environments. He has also made significant strides in two-wheeled robot stabilization, addressing the inherent instability of Segway-type robots through advanced controller design. Notably, his research on fish-swarmed Kalman filters for state observer feedback represents a novel bio-inspired approach to improving two-wheeled mobile robot balance and performance. While his citation counts (2-3 per paper) reflect an emerging career, his work demonstrates a clear trajectory in practical robotics applications. Fahmi's research addresses key performance indicators in robotics—speed, accuracy, and stability—positioning him as a developing contributor to the field of autonomous mobile systems and control engineering.