Inung Wijayanto
Papers
3
Total Citations
13
H-Index
2
About
Inung Wijayanto is an Indonesian researcher whose work spans robotics, autonomous systems, and biomedical signal processing, with a particular focus on solving real-world challenges through intelligent engineering. He is perhaps best recognized for his contributions to autonomous unmanned aerial vehicles (UAVs), notably his 2016 work on position estimation and fire detection using digital video color space on quadcopter platforms — his most cited publication with 9 citations — developed in the context of Indonesia's national aerial robot competition (KRTI) and aimed at addressing the country's persistent forest fire crisis. Complementing this, his fire-fighting robot research explored multi-sensor fusion approaches combining flame sensors and cameras for reliable fire detection in ground-based robotic systems. More recently, Wijayanto has expanded his research into brain-computer interface (BCI) technology, investigating EEG signal processing for motor imagery classification to assist Indonesia's estimated 10 million people living with disabilities. This interdisciplinary trajectory — from aerial robotics to neural signal processing — reflects his commitment to developing accessible, impactful technologies tailored to Indonesian societal needs, establishing him as a versatile contributor to applied robotics and human-assistive engineering.
Research Focus
Key Achievements
Top Papers
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