Risfendra Risfendra
Papers
8
Total Citations
40
H-Index
3
About
Risfendra Risfendra is an Indonesian researcher whose work spans robotics, intelligent sensing systems, and technology-enhanced vocational education. His research contributions are particularly notable in the areas of indoor localization, autonomous robot navigation, and applied machine learning. In one of his most impactful studies (12 citations), he developed a hybrid Kalman-Moving Average filter approach to significantly reduce errors in UWB-based indoor localization — a critical advancement for robot navigation in confined environments. His work on deep learning-based waste classification using the EfficientNet-B0 model (10 citations) demonstrates his commitment to addressing real-world environmental challenges, particularly relevant to Indonesia's substantial waste management crisis. Risfendra has also made meaningful contributions to competitive robotics, developing image processing-driven wheeled soccer robots with holonomic movement systems and goalkeeper navigation capabilities. Beyond technical research, he has championed robotics education in Indonesian vocational schools, designing STEM-based robotic control modules and mobile training kits that measurably improve students' practical and problem-solving skills. His growing body of work, with over 40 cumulative citations, positions him as a rising voice in applied robotics and educational technology within Southeast Asia's engineering research community.
Research Focus
Key Achievements
Top Papers
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- 8Record and Playback Robot Lengan Menggunakan Graphical User Interface2 citations · 2022