Papers
1
Total Citations
113
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About
Isao Ham is a leading researcher in humanoid robotics and human-robot interaction, with a particular focus on robust speech interfaces for real-world environments. His 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 enable robots to extract target speech amidst noisy surroundings—a critical capability for cooperative human-robot tasks. By fusing microphone array processing with visual lip-motion tracking, Ham demonstrated how humanoid platforms like HRP-2 could achieve reliable speech recognition in challenging acoustic conditions, directly advancing the practicality of communicative robots. His contributions have shaped the development of multimodal perception systems, bridging the gap between laboratory prototypes and real-world deployment. With over a hundred citations on this seminal work alone, Ham’s research continues to influence engineers and roboticists striving to make robots more intuitive and responsive partners in shared human environments.
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