Mohammad Isa Irawan
Mikroelektronika (Czechia), Sepuluh Nopember Institute of Technology
Papers
2
Total Citations
9
H-Index
2
About
Mohammad Isa Irawan is a researcher specializing in human-robot interaction, real-time control systems, and intelligent signal processing. His work focuses on developing intuitive interfaces that allow humans to control robotic systems through natural gestures and speech. One of his key contributions is the creation of a virtual pointer system for identifying hand gestures to control robot movements in real time, a foundational study that has garnered 5 citations and established a framework for non-contact robotic control. He further advanced this field by integrating speech recognition with robotic arm control, using Linear Predictive Coding and Neuro-Fuzzy methods to achieve real-time, voice-activated manipulation, a work cited 4 times. Irawan’s research bridges the gap between complex computational algorithms and practical, user-friendly robotic applications, making significant strides in assistive and industrial robotics. His work is particularly notable for its emphasis on real-time performance, ensuring that human commands are translated into robotic actions with minimal latency. By combining gesture and voice control, Irawan has contributed to the development of more accessible and versatile human-robot interfaces, laying groundwork for future innovations in autonomous systems and intelligent environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2