Chen-Yu Chan
Papers
1
Total Citations
23
H-Index
1
About
Chen-Yu Chan is a researcher in robot audition and acoustic signal processing, with a focus on sound source localization and mobile robotics. His most influential work, "Simultaneous localization of mobile robot and multiple sound sources using microphone array" (2009, 23 citations), introduces a novel framework that enables a robot to concurrently estimate its own position and the locations of multiple sound sources using an onboard microphone array. This contribution addresses a critical challenge in robot audition—moving microphones—by integrating simultaneous localization and mapping (SLAM) principles with acoustic sensing. Chan's approach allows robots to navigate and interact with dynamic auditory environments, advancing applications in human-robot interaction and autonomous navigation. While his citation count reflects a specialized niche, the work is foundational for researchers exploring auditory SLAM and multi-modal sensor fusion. His research bridges robotics and audio engineering, demonstrating how microphones can serve as both environmental sensors and localization tools.
Research Focus
Key Achievements
Top Papers
- 1