Minook Kim
Papers
1
Total Citations
2
H-Index
1
About
Minook Kim is a researcher at the forefront of acoustic signal processing and human-robot interaction, with a particular focus on enabling robust auditory perception in noisy, real-world environments. His key research areas include sound source localization, microphone array processing, and the development of intelligent systems for home robotics. Kim’s most notable contribution is his work on a real-time sound source localization system specifically designed for robotic vacuum cleaners, which addresses the critical challenge of strong ego-noise generated by the robot’s own motors and brushes. This system, detailed in his 2024 paper, leverages a microphone array and advanced AI algorithms to accurately pinpoint sound sources—such as a user’s voice or a specific location—even amidst intense operational noise, thereby enhancing voice command accuracy and user tracking. While his work is still early in its citation impact, it represents a significant step toward more responsive and context-aware home appliances. Kim’s research bridges the gap between theoretical acoustics and practical deployment, promising to make smart home devices not only smarter but also more intuitive and reliable in everyday use.
Research Focus
Key Achievements
Top Papers
- 1