Muhammad Nur Adilin Mohd Anuardi
Papers
5
Total Citations
24
H-Index
3
About
Muhammad Nur Adilin Mohd Anuardi is a researcher specializing in human-robot interaction, affective computing, and emotion-sensing technologies. His work sits at the compelling intersection of robotics, physiological signal processing, and artificial emotional intelligence, focusing on developing robots capable of recognizing and responding to human emotional states in real time. Among his most notable contributions is his research on empathetic robots that synchronize facial expressions with estimated human emotions derived from biological signals, a breakthrough that significantly advances user acceptance and robot-human rapport. His 2021 paper on individual preference in robot facial expression, his most cited work with 8 citations, demonstrates how personalized emotional feedback can optimize service robot interactions. Complementing this, his work on multi-user robot systems with virtual agents explores cost-effective solutions for delivering personalized robotic services to broader populations. Anuardi has also extended emotion-sensing applications into healthcare, investigating emotion-sensitive rehabilitation robots designed to sustain patient motivation during physical recovery. His earlier neuroimaging research using NIRS to analyze emotionally toned Malay language sounds reflects his commitment to culturally informed affective computing. Collectively, his publications signal a growing influence in designing emotionally intelligent robotic systems that are both technically sophisticated and deeply human-centered.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5