Nur Rachman
Papers
1
Total Citations
2
H-Index
1
About
Nur Rachman is a researcher focused on robotics and voice-controlled automation systems. Their most cited work, "PENGENDALI ROBOT BERODA BERBASIS SENSOR TELEMETRI VOICE PATTERN RECOGNITION" (2019), explores the integration of voice pattern recognition technology with telemetry sensors to enable human speech as a command interface for wheeled robots. This contribution addresses a key challenge in human-robot interaction: making robotic control more intuitive and accessible through natural voice commands rather than traditional manual interfaces. While their citation count currently stands at 2, this foundational work represents an important step in developing voice-controlled robotic systems, particularly in the context of Indonesian-language speech recognition applications. Rachman's research sits at the intersection of robotics, sensor telemetry, and speech processing, contributing to the growing field of assistive and interactive robotics. Their work demonstrates potential applications in automation, accessibility technologies, and human-machine collaboration, offering a pathway toward more natural and efficient robotic control systems that respond to human vocal instructions.
Research Focus
Key Achievements
Top Papers
- 1