Papers
11
Total Citations
104
H-Index
4
About
Hendro Nurhadi is an Indonesian robotics and control systems researcher whose work centers on autonomous underwater vehicles (AUVs), state estimation, and intelligent control methodologies. He is perhaps best known for his pioneering application of advanced filtering techniques to underwater robotics navigation, most notably his 2016 paper on Ensemble and Fuzzy Kalman Filter methods for AUV position estimation, which has accumulated 57 citations and remains his most influential contribution to the field. Building on this foundation, Nurhadi has consistently advanced AUV navigation and guidance systems, developing Extended Kalman Filter and Unscented Kalman Filter approaches for vehicles such as the UNUSAITS AUV, reflecting a sustained commitment to improving autonomous underwater exploration — a critical area for a maritime nation like Indonesia. Beyond underwater systems, Nurhadi has broadened his research to encompass collaborative robotics, applying both PID and Fuzzy Logic Control methods to UR5 robotic arms, as well as exploring ANFIS-based techniques for writing robot control and inverse kinematics modeling. His more recent work extends into biomedical applications, including finger motion estimation for post-stroke rehabilitation using Ensemble Kalman Filters. With over 100 cumulative citations, Nurhadi's interdisciplinary contributions spanning marine robotics, intelligent control, and rehabilitation engineering make him a notable figure in Indonesian engineering research.
Research Focus
Key Achievements
Top Papers
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- 7Character recognition for Writing Robot Control using ANFIS3 citations · 2015
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- 9ESTIMATION OF THIRD FINGER MOTION USING ENSEMBLE KALMAN FILTER2 citations · 2022
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