Ching-Yi Kuo
Papers
1
Total Citations
71
H-Index
1
About
Ching-Yi Kuo is a leading researcher in robot audition and acoustic signal processing, with a focus on enabling robots to perceive and interact with their environments through sound. Her most influential work, "Simultaneous Localization of a Mobile Robot and Multiple Sound Sources Using a Microphone Array" (2010, 71 citations), introduced a groundbreaking framework that allows a mobile robot to simultaneously estimate its own position and the locations of multiple sound sources using an onboard microphone array. This dual-localization approach addressed a critical limitation of prior methods, which relied on static arrays and could not adapt to robot motion. By integrating auditory perception with self-localization, Kuo’s work advanced the field of robot audition, making it possible for robots to navigate and track sounds in dynamic, real-world settings. Her contributions have been widely cited and serve as a foundation for subsequent research in human-robot interaction, autonomous navigation, and assistive robotics. Kuo’s innovative framework remains a key reference for researchers developing auditory-aware robotic systems.
Research Focus
Key Achievements
Top Papers
- 1