Andrei-Marius Silaghi
Papers
3
Total Citations
31
H-Index
3
About
Andrei-Marius Silaghi is a researcher specializing in industrial robotics, human-robot interaction, and speech recognition technologies. His work focuses on integrating voice command systems into automated manufacturing environments, addressing the critical challenge of reliable speech and speaker recognition under noisy industrial conditions. His most cited paper, "Voice command of an industrial robot in a noisy environment" (2014, 18 citations), demonstrates how voice interfaces can be effectively deployed despite interference from electrical motors and machine tools. Silaghi also developed the Mixed Profile Method of Speed (MPS), a real-time computation technique for robotic arm motion that enables precise positioning through optimized acceleration and deceleration profiles (2018, 9 citations). His earlier work on speech and speaker recognition for robot command (2010, 4 citations) laid foundational methods for secure, user-specific voice control. By bridging speech processing and robotic control, Silaghi’s contributions advance the practical deployment of intuitive, hands-free command systems in industrial settings, enhancing both safety and efficiency.
Research Focus
Key Achievements
Top Papers
- 1Voice command of an industrial robot in a noisy environment18 citations · 2014
- 2
- 3Speech and speaker recognition for the command of an industrial robot4 citations · 2010