Papers
3
Total Citations
17
H-Index
2
About
Gyeongho Kim is a researcher whose work bridges robotics, acoustics, and advanced manufacturing. His early research focused on enabling robust human-robot interaction through sound, developing speech and speaker recognition systems for robots operating in reverberant, real-world environments. He also tackled the fundamental challenge of sound source localization on robotic platforms, where physical obstructions from the robot’s own body complicate accurate audio processing. By addressing microphone placement and leveraging methods like TDOA and HRTF, his work laid groundwork for more perceptive and responsive robots. More recently, Kim has applied his sensor and signal processing expertise to manufacturing, specifically in carbon fiber-reinforced plastic (CFRP) drilling. His 2024 work introduces an innovative method to accurately synthesize images of the machined surface, enabling operators to promptly detect delamination—a critical defect that compromises material durability. This shift from auditory perception to visual inspection demonstrates a versatile approach to solving complex engineering problems. With foundational papers from 2007 still cited today, Kim’s contributions continue to influence both the robotics and materials processing communities.
Research Focus
Key Achievements
Top Papers
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