Jinsung Kim
Papers
2
Total Citations
39
H-Index
2
About
Jinsung Kim is a leading researcher in human-robot interaction, with a specialized focus on auditory perception and speech signal processing. His work has been instrumental in advancing how robots listen to and locate humans in real-world environments. Kim’s most impactful contribution is the development of a speaker localization system for humanoid robots, which uses a TDOA-based feature matrix with a six-microphone array. This foundational work, cited 21 times, enables robots to accurately pinpoint a speaker’s location, a critical capability for natural interaction. Building on this, Kim addressed a key reliability challenge in his 2010 study on fault detection in microphone arrays. By using intercorrelation of features in voice activity detection, he created a method to identify faulty microphones, ensuring robust auditory input even in noisy or degraded conditions. This work, with 18 citations, is vital for deploying voice-based interaction systems in the field. Kim’s research directly tackles the core engineering problems of making robotic hearing both accurate and dependable, paving the way for more responsive and trustworthy human-robot communication.
Research Focus
Key Achievements
Top Papers
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- 2