Papers
2
Total Citations
17
H-Index
2
About
Fahmi Zal is a robotics researcher whose work focuses on intelligent control systems for autonomous mobile robots, particularly in assistive and bipedal locomotion applications. His key research areas include fuzzy logic control, behavior-based architectures, and sensor-integrated locomotion for robots operating in complex, real-world environments. In his most cited work, "Fuzzy controller based subsumption behavior architecture for autonomous robotic wheelchair" (2013, 10 citations), Zal introduced a novel approach that combines fuzzy logic with subsumption architecture, enabling a robotic wheelchair to seamlessly integrate behaviors like goal seeking and obstacle avoidance. This work demonstrates his contribution to making assistive robots more adaptive and reliable. In another significant study, "Development of Fuzzy Logic Controllers for Controlling Bipedal Robot Locomotion on Uneven Terrains with IMU Feedbacks" (2016, 7 citations), Zal advanced bipedal robotics by integrating IMU feedback with fuzzy controllers to improve stability on uneven surfaces, moving beyond traditional LIPM models. While his citation counts reflect a focused, early-career impact, his work has laid important groundwork for more intuitive and robust control strategies in both assistive and humanoid robotics.
Research Focus
Key Achievements
Top Papers
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