Silaghi Andrei
Papers
1
Total Citations
2
H-Index
1
About
Andrei Silaghi’s research focuses on the intersection of adaptive signal processing and industrial robotics, with a particular emphasis on voice-controlled automation. His most cited work, “Voice signal's noise reduction using adaptive/reconfigurable filters for the command of an industrial robot” (2011, 2 citations), introduces a novel approach to filtering ambient noise from voice commands, enabling more reliable human-robot interaction in industrial settings. By employing adaptive and reconfigurable filter architectures, Silaghi demonstrates how isolated spoken words can be effectively recognized and used to control robotic systems, even in acoustically challenging environments. This contribution addresses a critical barrier to deploying voice-activated machinery on factory floors, where background noise often degrades command accuracy. Though his citation count is modest, the work reflects an early and practical effort to bridge speech processing and industrial automation—a field that has since grown significantly. Silaghi’s research is particularly relevant for engineers and students exploring real-time adaptive filtering, human-robot interfaces, and the integration of signal processing techniques into manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1