Papers
1
Total Citations
3
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About
Rido Zulfahmi is a researcher specializing in artificial intelligence applications for autonomous robotic systems, with a particular focus on underwater navigation. His most cited work, "Artificial Intelligence in Underwater Robot Navigation Using Sonar Sensors with Fuzzy Logic Method" (2019), addresses the critical challenge of obstacle avoidance in dynamic underwater environments. Zulfahmi’s key contribution lies in developing fuzzy logic-based navigation systems that effectively manage the inherent uncertainty in sonar sensor inputs and outputs, enabling more reliable and adaptive control for autonomous underwater vehicles. By integrating artificial intelligence with fuzzy logic, his research enhances the ability of robots to predict and respond to changing conditions in real-time, advancing the field of marine robotics. With 3 citations, this foundational paper demonstrates his early impact in applying intelligent control methods to complex, real-world navigation problems. Zulfahmi’s work is particularly valuable for researchers and engineers developing autonomous systems for ocean exploration, environmental monitoring, and underwater infrastructure inspection, where robust navigation in unpredictable environments is essential.
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Top Papers
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