Elsen Ronando

Sepuluh Nopember Institute of Technology

Papers

1

Total Citations

4

H-Index

1

About

Elsen Ronando is a researcher whose work lies at the intersection of speech recognition, robotics, and intelligent control systems. His most cited paper, "Pengenalan Ucapan Kata Sebagai Pengendali Gerakan Robot Lengan Secara Real-Time dengan Metode Linear Predictive Coding – Neuro Fuzzy" (2012), demonstrates a pioneering approach to real-time robotic arm control using voice commands. By integrating Linear Predictive Coding (LPC) with Neuro-Fuzzy methods, Ronando developed a system that translates spoken words into precise robotic movements, addressing the growing role of robots in high-tech industries and daily life. Though his citation count stands at 4, the work is notable for its practical application of combining signal processing and artificial intelligence to enhance human-robot interaction. This contribution highlights Ronando’s focus on making robotics more accessible and intuitive through voice-based control, a key step toward seamless collaboration between humans and machines. His research continues to inspire advancements in assistive robotics and intelligent automation.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Pengenalan Ucapan Kata Sebagai Pengendali Gerakan Robot Lengan Secara Real-Time dengan Metode Linear Predictive Coding – Neuro Fuzzy
4 citations · 2012
📈 Most Prolific Year: 2012 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Sepuluh Nopember Institute of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago