Edi Hendri Mulyana
Papers
10
Total Citations
85
H-Index
5
About
Edi Hendri Mulyana is a researcher specializing in robotics, autonomous navigation, and intelligent control systems, with a particular focus on applying fuzzy logic to real-world engineering challenges. His work spans a diverse range of robotic applications, from underwater and aerial systems to industrial automation and environmental monitoring, establishing him as a versatile contributor to applied robotics research. Among his most influential contributions is his 2020 IoT-enabled Remotely Operated Vehicle (ROV) for water quality monitoring, which has garnered 23 citations and addresses the critical global challenge of clean water access by integrating environmental sensing with modern connectivity. His sustained exploration of Mamdani fuzzy logic control across multiple platforms — including wall-tracer robots, autonomous vehicles, underwater systems, and fire-fighting robots — demonstrates a coherent research vision aimed at making machines more adaptive and reliable in complex environments. His 2020 work on automatic goods carrier robots, with 13 citations, further reflects his commitment to industrial automation solutions. Mulyana's cumulative body of work, accumulating over 80 citations, highlights his growing influence in embedded systems and intelligent robotics. His research is especially valuable for engineers and students seeking practical, sensor-driven approaches to autonomous robot navigation and environmental monitoring in resource-constrained settings.
Research Focus
Key Achievements
Top Papers
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- 3Fuzzy Logic Control for Avoiding Static Obstacle in Autonomous Vehicle Robot11 citations · 2021
- 4Modeling Wall Tracer Robot Motion Based on Fuzzy Logic Control10 citations · 2020
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