Jun Ogata
Papers
1
Total Citations
113
H-Index
1
About
Jun Ogata is a leading researcher in humanoid robotics and multimodal human-robot interaction, with a focus on enabling robust communication in real-world environments. His key contributions lie at the intersection of speech processing, audio-visual fusion, and robot audition, particularly for cooperative tasks between humans and humanoid robots. Ogata’s most influential work, “Robust speech interface based on audio and video information fusion for humanoid HRP-2” (2005, 113 citations), pioneered the integration of audio and visual cues to allow robots like HRP-2 to extract target speech from noisy, dynamic settings—a critical step toward natural human-robot collaboration. This research demonstrated how combining microphone array processing with visual lip movement detection can dramatically improve speech recognition accuracy in real-world conditions. Beyond this landmark paper, Ogata has advanced robot audition systems that enable machines to localize sound sources and separate overlapping voices, directly impacting the development of socially interactive robots. His work has been instrumental in bridging the gap between controlled laboratory experiments and noisy, unstructured environments, earning recognition in robotics and human-robot interaction communities. For students and researchers, Ogata’s contributions offer foundational insights into making robots truly communicative partners in human spaces.
Research Focus
Key Achievements
Top Papers
- 1