Siska Aulia
Papers
1
Total Citations
5
H-Index
1
About
Siska Aulia is a researcher whose work sits at the intersection of speech processing, computer vision, and robotics. Her most-cited paper, "Pengenalan Ucapan Metoda MFCC-HMM Untuk Perintah Gerak Robot Mobil Penjejak Identifikasi Warna" (2013), demonstrates a pioneering integration of audio and visual technologies. In this study, she implemented Mel-Frequency Cepstral Coefficients (MFCC) combined with Hidden Markov Models (HMM) to enable voice-controlled navigation for a color-tracking mobile robot. By fusing speech recognition with image processing, Aulia contributed to the development of more intuitive human-machine interfaces, allowing robots to respond to verbal commands while visually identifying and following colored targets. Though her citation count stands at 5, the work represents an early, practical application of multimodal AI in robotics, bridging natural language understanding and computer vision. Her research remains relevant for students and engineers exploring embedded systems, sensor fusion, and assistive robotics, highlighting the potential of combining auditory and visual cues for more responsive autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1