Endang Darmawan Yudi
Papers
3
Total Citations
7
H-Index
2
About
Endang Darmawan Yudi is a pioneering researcher in the field of autonomous underwater robotics and intelligent control systems. His work focuses on developing advanced navigation and control mechanisms for Autonomous Underwater Vehicles (AUVs) using fuzzy logic methodologies. In his highly cited 2020 paper, "Design Depth and Balanced Control System of an Autonomous Underwater Vehicle with Fuzzy logic," Yudi established a novel framework for precise depth and stability control in underwater robots, addressing the critical challenge of dynamic uncertainty in aquatic environments. His 2019 study on sonar-based navigation further demonstrated how fuzzy logic can effectively manage input-output uncertainties to enable reliable obstacle avoidance. Beyond underwater robotics, Yudi has also contributed to human-robot interaction, as evidenced by his 2024 work on memory-efficient face recognition systems for receptionist robots using the LBPH algorithm on resource-constrained platforms like Raspberry Pi. With cumulative citations across his key publications, Yudi's research bridges the gap between theoretical control systems and practical robotic applications, making significant strides in autonomous navigation and artificial intelligence integration for real-world robotic systems.
Research Focus
Key Achievements
Top Papers
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