Hanif Fakhruroja
Papers
1
Total Citations
7
H-Index
1
About
Hanif Fakhruroja is a researcher specializing in speech recognition, human-robot interaction, and Indonesian language processing. His most-cited work, "Indonesian speech recognition grammar using Kinect 2.0 for controlling humanoid robot" (2018, 7 citations), demonstrates a practical application of automatic speech recognition (ASR) for controlling humanoid robots using the Kinect 2.0 sensor. This contribution addresses a critical gap in Indonesian-language human-robot interfaces, enabling hands-free command execution through speech. By developing a grammar tailored to Indonesian linguistic structures, Fakhruroja’s work facilitates more natural and accessible robot control, with potential applications in assistive technology, education, and industrial automation. Despite a modest citation count, his research is foundational for advancing Indonesian ASR in robotics, bridging the gap between local language needs and global human-robot interaction trends. His efforts highlight the importance of regional language support in emerging technologies, making him a notable figure in Indonesian speech processing and robotics.
Research Focus
Key Achievements
Top Papers
- 1