Kikuchi Keiko
Papers
1
Total Citations
19
H-Index
1
About
Keiko Kikuchi is a pioneering researcher in acoustic signal processing and human-robot interaction, whose work has fundamentally advanced how machines perceive and respond to human communication cues. Her most influential contribution is the development of real-time sound source orientation estimation using a 96-channel microphone array, a breakthrough that enables robots to detect not only where a sound originates but also the direction a speaker is facing. This capability, detailed in her highly cited 2009 paper, is critical for natural human-robot interaction, allowing robots to interpret social signals like face orientation during conversation. By introducing orientation-extended amplitude beamforming (OE-ABF), Kikuchi solved a key challenge in auditory scene analysis, achieving robust performance in noisy, real-world environments. Her work has accumulated significant impact, with her flagship paper garnering 19 citations and influencing subsequent research in robot audition and multi-modal interaction. Kikuchi’s innovations have been instrumental in bridging the gap between raw acoustic data and socially aware robotic behavior, making her a key figure in the field of intelligent robotics and human-centered AI.
Research Focus
Key Achievements
Top Papers
- 1