Chen-Yu Chan
Papers
1
Total Citations
71
H-Index
1
About
Chen-Yu Chan is a leading researcher in robot audition and acoustic signal processing, with a focus on enabling robots to perceive and interact with their auditory environment. His 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 estimate its own position while simultaneously localizing multiple sound sources using only a microphone array. This dual-localization approach addressed a critical gap in the field, as prior methods relied on static arrays or assumed known robot positions. Chan’s contribution enables robots to dynamically adapt to noisy, real-world environments, enhancing applications in human-robot interaction, search-and-rescue, and autonomous navigation. By integrating auditory perception with self-localization, his work has influenced subsequent research in robot audition and sensor fusion. With over 70 citations, this paper remains a foundational reference for researchers developing hearing-capable autonomous systems. Chan’s innovative synthesis of robotics and acoustics continues to inspire advances in how machines listen and move.
Research Focus
Key Achievements
Top Papers
- 1