H Maghfur

Papers

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About

H Maghfur is a researcher focused on autonomous robotics and intelligent control systems, with a particular emphasis on marine applications. Their most notable contribution involves the development of an Autonomous Surface Vehicle (ASV) equipped with a Fuzzy Kohonen Network (FKN) for obstacle avoidance. This work, published in 2019, integrates fuzzy logic with neural network learning to enable robot boats to autonomously detect, measure, and navigate around obstacles in their path. By treating the FKN as the vehicle's "brain," Maghfur has advanced the field of autonomous navigation for unmanned surface vessels, addressing critical challenges in maritime robotics. Though the paper has garnered 2 citations to date, its conceptual foundation in combining fuzzy systems with Kohonen networks for real-time obstacle avoidance represents a meaningful step toward safer and more intelligent autonomous marine platforms. This research holds promise for applications in environmental monitoring, search and rescue, and maritime logistics, demonstrating Maghfur's commitment to bridging computational intelligence with practical robotic systems.