Silaghi Marius
Papers
1
Total Citations
2
H-Index
1
About
Silaghi Marius is a researcher whose work sits at the intersection of signal processing and industrial robotics, with a particular focus on adaptive filtering and human-machine interaction. His most cited contribution, "Voice signal's noise reduction using adaptive/reconfigurable filters for the command of an industrial robot," demonstrates his core interest in making robotic systems more accessible through voice control. The paper, which has garnered 2 citations, presents a novel approach to cleaning voice signals in noisy industrial environments using adaptive and reconfigurable filters, enabling more reliable voice commands for industrial robots through isolated word recognition. This work addresses a practical challenge in manufacturing settings where background noise often interferes with voice-activated systems. While his citation count is modest, Silaghi's research represents an important step toward more intuitive human-robot interfaces, particularly in industrial contexts where traditional control methods may be cumbersome. His work contributes to the broader field of assistive robotics and adaptive signal processing, offering a glimpse into how voice control might become more viable in challenging acoustic environments.
Research Focus
Key Achievements
Top Papers
- 1